Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age | Paper Citation Record

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 1

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This paper cites SIAM, 2015.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age SIAM, 2015

Reference 2

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This paper cites Precision medicine.Annual Review of Statistics and Its Application, 6:263–286, 2019.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Precision medicine.Annual Review of Statistics and Its Application, 6:263–286, 2019

Reference 3

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This paper cites Chapman and Hall/CRC, 2019.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Chapman and Hall/CRC, 2019

Reference 4

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age PhD thesis

Reference 5

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This paper cites Statistical analysis of high- dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Statistical analysis of high- dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

Reference 6

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This paper cites Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Glucodensity Functional Profiles Outperform Traditional Continuous Glucose Monitoring Metrics

Reference 7

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This paper cites The era of digital health: A review of portable and wearable affinity biosensors.Advanced Functional Materials, 30(29):1906713, 2020.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age The era of digital health: A review of portable and wearable affinity biosensors.Advanced Functional Materials, 30(29):1906713, 2020

Reference 8

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This paper cites Generalized additive models for location, scale and shape.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Generalized additive models for location, scale and shape

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.311127Z

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This paper cites Springer Science & Business Media, 2011.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Springer Science & Business Media, 2011

Reference 10

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This paper cites Best subset selection via a modern optimization lens.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Best subset selection via a modern optimization lens

Reference 11

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This paper cites A selective review of group selection in high- dimensional models.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age A selective review of group selection in high- dimensional models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.330606Z

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This paper cites A general theory of concave regularization for high-dimensional sparse estimation problems.Statistical Science, 27(4):576–593, 2012.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age A general theory of concave regularization for high-dimensional sparse estimation problems.Statistical Science, 27(4):576–593, 2012

Reference 13

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This paper cites High-dimensional statistics with a view toward applications in biology.Annual Review of Statistics and Its Application, 1(1):255–278, 2014.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age High-dimensional statistics with a view toward applications in biology.Annual Review of Statistics and Its Application, 1(1):255–278, 2014

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.338606Z

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This paper cites Efficient quadratic regularization for expression arrays.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Efficient quadratic regularization for expression arrays

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.342452Z

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This paper cites A variable selection method for genome-wide association studies.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age A variable selection method for genome-wide association studies

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.346764Z

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This paper cites Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society: Series B (Methodological), 58(1):267–288, 1996.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society: Series B (Methodological), 58(1):267–288, 1996

Reference 17

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This paper cites Regularization and variable selection via the elastic net.Journal of the royal statistical society: series B (statistical methodology), 67(2):301–320, 2005.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Regularization and variable selection via the elastic net.Journal of the royal statistical society: series B (statistical methodology), 67(2):301–320, 2005

Reference 18

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This paper cites Variable selection via nonconcave penalized likelihood and its oracle properties.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Variable selection via nonconcave penalized likelihood and its oracle properties

Reference 19

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This paper cites Fast best subset selection: Coordinate descent and local combinatorial optimization algorithms.Operations Research, 68(5):1517–1537, 2020.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Fast best subset selection: Coordinate descent and local combinatorial optimization algorithms.Operations Research, 68(5):1517–1537, 2020

Reference 20

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 21

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This paper cites False discoveries occur early on the lasso path.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age False discoveries occur early on the lasso path

Reference 22

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This paper cites Slope—adaptive variable selection via convex optimization.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Slope—adaptive variable selection via convex optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.373722Z

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This paper cites Controlling the rate of gwas false discoveries.Genetics, 205(1):61–75, 2017.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Controlling the rate of gwas false discoveries.Genetics, 205(1):61–75, 2017

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.377440Z

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This paper cites Gene hunting with hidden markov model knockoffs.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Gene hunting with hidden markov model knockoffs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.381313Z

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This paper cites Multi- resolution localization of causal variants across the genome.Nature Communications, 11(1):1–10, 2020.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Multi- resolution localization of causal variants across the genome.Nature Communications, 11(1):1–10, 2020

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.384939Z

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This paper cites Least angle regression.The Annals of statistics, 32(2):407–499, 2004.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Least angle regression.The Annals of statistics, 32(2):407–499, 2004

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.388656Z

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This paper cites Convexlar: an extension of least angle regression.Journal of Computational and Graphical Statistics, 24(3):603–626, 2015.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Convexlar: an extension of least angle regression.Journal of Computational and Graphical Statistics, 24(3):603–626, 2015

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.392335Z

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This paper cites Robust linear model selection based on least angle regression.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Robust linear model selection based on least angle regression

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.396108Z

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Observation c342610b-0fd7-4e8d-a449-38363f00d7c8 · outbound

This paper cites Sparse regression: Scalable algorithms and empirical performance.Statistical Science, 35(4):555–578, 2020.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Sparse regression: Scalable algorithms and empirical performance.Statistical Science, 35(4):555–578, 2020

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.399694Z

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Observation 27c0399c-b5b1-43df-9e6d-79920d76228f · outbound

This paper cites Sparse classification: a scalable discrete optimization perspective.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Sparse classification: a scalable discrete optimization perspective

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.875623Z

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This paper cites Matabuena.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Matabuena

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.863770Z

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This paper cites Glucodensities: A new representation of glucose profiles using distributional data analysis.Statistical Methods in Medical Research, 30(6):1445–1464, 2021.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Glucodensities: A new representation of glucose profiles using distributional data analysis.Statistical Methods in Medical Research, 30(6):1445–1464, 2021

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.852608Z

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Observation 18c0dd02-1d6c-459d-8ac8-7ba8e7518358 · outbound

This paper cites Kernel bicluster- ing algorithm in Hilbert spaces.ArXiv Preprint, 2022.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Kernel bicluster- ing algorithm in Hilbert spaces.ArXiv Preprint, 2022

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.842272Z

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Observation cc926722-1e2f-477d-ba72-b635b10dd7eb · outbound

This paper cites Distributional data analysis with accelerometer data in a NHANES database with nonparametric survey regression models.ArXiv Preprint, 2021.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Distributional data analysis with accelerometer data in a NHANES database with nonparametric survey regression models.ArXiv Preprint, 2021

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.831365Z

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This paper cites Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease

Reference 36

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 37

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Observation 19da2c17-e60d-4204-a5a1-b0ab6b68bd4a · outbound

This paper cites Ghosal and M.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Ghosal and M

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.807078Z

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Observation c471915b-b850-4eb2-b658-59fd1727bc06 · outbound

This paper cites Conditional Wasserstein Barycenters and Interpolation/Extrapolation of Distributions.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Conditional Wasserstein Barycenters and Interpolation/Extrapolation of Distributions

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:59:05.035974Z

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 40

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This paper cites Petersen, X.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Petersen, X

Reference 41

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This paper cites Zhou and H.-G.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Zhou and H.-G

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.773660Z

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Observation 4c4a9d0f-17a4-471b-b905-9a41ffe67f3f · outbound

This paper cites Dubey and H.-G.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Dubey and H.-G

Reference 43

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 44

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Observation 55f3e985-b7ae-4a60-ac46-ded5aab3d2c9 · outbound

This paper cites Kurisu and T.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Kurisu and T

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.738656Z

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This paper cites Chen and H.-G.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Chen and H.-G

Reference 46

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Reference 47

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This paper cites Dubey and H.-G.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Dubey and H.-G

Reference 48

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This paper cites Fr\'echet Covariance and MANOVA Tests for Random Objects in Multiple Metric Spaces.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Fr\'echet Covariance and MANOVA Tests for Random Objects in Multiple Metric Spaces

Reference 49

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Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 50

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This paper cites Matabuena, C.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Matabuena, C

Reference 51

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Observation 58778bd6-e849-4822-94c1-751c6f36b22b · outbound

This paper cites Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects

Reference 53

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This paper cites Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.500536Z

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This paper cites Uncertainty quantification in metric spaces.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Uncertainty quantification in metric spaces

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:59:04.855577Z

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Observation 3b0a8f29-ee1b-42f6-957c-2fd3db72f60d · outbound

This paper cites Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:59:04.838727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5040f3e-0ed9-48fb-9db9-86c254e64169 · outbound

This paper cites Single Index Fr\'echet Regression.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Single Index Fr\'echet Regression

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T20:59:04.821275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ac33952-b60f-487c-9db2-c6df53798f29 · outbound

This paper cites Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fr\'echet Single Index Model.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fr\'echet Single Index Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.517469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4066301-6042-4cb1-88dd-45f27658d0b9 · outbound

This paper cites Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.522199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c50f0c-d93b-4139-9a00-9984f5d3834a · outbound

This paper cites an unresolved cited work.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:59:05.681010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e5196518-d11f-42d2-bd68-6cfdcf6a6378 · outbound

This paper cites an unresolved cited work.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:59:05.668999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef5a2c68-b80e-45f7-b915-f170000d78d6 · outbound

This paper cites Medoid splits for efficient random forests in metric spaces.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Medoid splits for efficient random forests in metric spaces

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.534513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fded5769-2069-4bdb-977e-0d1649e9b9e4 · outbound

This paper cites Nonlinear global Fr\'echet regression for random objects via weak conditional expectation.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Nonlinear global Fr\'echet regression for random objects via weak conditional expectation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.539145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9744390c-c695-4822-8b24-0aaff908ef51 · outbound

This paper cites Current state of commercial wearable technology in physical activity monitoring 2015–2017.International journal of exercise science, 11(7):503, 2018.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Current state of commercial wearable technology in physical activity monitoring 2015–2017.International journal of exercise science, 11(7):503, 2018

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.656762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e4aff3f2-b6ef-4418-972e-27d583bc8035 · outbound

This paper cites Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.644353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e1a604e-61d8-417c-94f6-6af9be3cde63 · outbound

This paper cites Wearablesandthemedicalrevolution.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Wearablesandthemedicalrevolution

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.632530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6205cea2-7e7b-437d-a5c5-9bf22f799eda · outbound

This paper cites Integrative omics for health and disease.Nature Reviews Genetics, 19(5):299–310, 2018.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Integrative omics for health and disease.Nature Reviews Genetics, 19(5):299–310, 2018

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.621018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fc77e91-9136-4827-b9f0-2fd712b013df · outbound

This paper cites Network biology bridges the gaps between quantitative genetics and multi-omics to map complex diseases.Current Opinion in Chemical Biology, 66:102101, 2022.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Network biology bridges the gaps between quantitative genetics and multi-omics to map complex diseases.Current Opinion in Chemical Biology, 66:102101, 2022

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.607079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d5c7ee85-c172-4328-9834-64d7ef1e14db · outbound

This paper cites Glucodensities: a new representation of glucose profiles using distributional data analysis.Statistical Methods in Medical Research, 30(6):1445–1464, 2021.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Glucodensities: a new representation of glucose profiles using distributional data analysis.Statistical Methods in Medical Research, 30(6):1445–1464, 2021

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.593749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b0870ff-28c8-437d-a5fb-4ed52bc44a11 · outbound

This paper cites Fréchetanalysisofvarianceforrandomobjects.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Fréchetanalysisofvarianceforrandomobjects

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.581053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1cd5abb-1bf8-4af6-a29f-2b47b0870914 · outbound

This paper cites Functional models for time-varying random objects.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Functional models for time-varying random objects

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.568729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd143c03-1ec0-4810-91e3-3707c03dd32d · outbound

This paper cites Image-to-image regression with distribution-free uncertainty quantification and applications in imaging.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Image-to-image regression with distribution-free uncertainty quantification and applications in imaging

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.575251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f631c5de-c608-4ca7-8f50-c35516e7d515 · outbound

This paper cites Tucker, Yichao Wu, and Hans-Georg Müller.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Tucker, Yichao Wu, and Hans-Georg Müller

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.545181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 78952d9b-6b0e-41ac-9e6c-ad1c2b98d118 · outbound

This paper cites Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.582902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e30aaf8-bdec-44fc-87ad-7244487ca827 · outbound

This paper cites What is a fenchel conjugate.Notices of the AMS, 59(1):44–46, 2012.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age What is a fenchel conjugate.Notices of the AMS, 59(1):44–46, 2012

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.530530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a153ed7-100b-47b2-9064-90d016d94b81 · outbound

This paper cites Wainwright, and Laurent El Ghaoui.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Wainwright, and Laurent El Ghaoui

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.517894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d1791590-17f3-47c6-8bc6-ac479685c5ef · outbound

This paper cites On general minimax theorems.Pacific Journal of Mathematics, 8(1):171–176, 1958.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age On general minimax theorems.Pacific Journal of Mathematics, 8(1):171–176, 1958

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T20:59:04.594587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c046486-6442-42a2-972d-64523eebbbe6 · outbound

This paper cites Fréchet regression for random objects with euclidean predictors.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Fréchet regression for random objects with euclidean predictors

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.498103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a5248707-7704-43c3-9389-8c9d86c13f18 · outbound

This paper cites Chapman and Hall/CRC, 2021.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Chapman and Hall/CRC, 2021

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.484500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9af482a1-6756-4bf2-8781-6d0e3ff6e496 · outbound

This paper cites Overview of object oriented data analysis.Biometrical Journal, 56(5):732–753, 2014.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Overview of object oriented data analysis.Biometrical Journal, 56(5):732–753, 2014

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.472015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f41e55d6-473a-4042-842f-183a0ae74423 · outbound

This paper cites Data analysis on nonstandard spaces.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Data analysis on nonstandard spaces

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.459093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c702fbd-1dec-49bf-9c9f-44d6ca13bf54 · outbound

This paper cites On certain metric spaces arising from euclidean spaces by a change of metric and their imbedding in hilbert space.Annals of mathematics, pages 787–793, 1937.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age On certain metric spaces arising from euclidean spaces by a change of metric and their imbedding in hilbert space.Annals of mathematics, pages 787–793, 1937

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.446314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca273aea-1f44-4b47-a328-4a0304546734 · outbound

This paper cites Metric spaces and positive definite functions.Transactions of the American Mathematical Society, 44(3):522–536, 1938.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Metric spaces and positive definite functions.Transactions of the American Mathematical Society, 44(3):522–536, 1938

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.434123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9954cf8-8e03-4d95-94f9-5c37662a95f0 · outbound

This paper cites Strong negative type in spheres.Pacific Journal of Mathematics, 307(2):383–390, 2020.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Strong negative type in spheres.Pacific Journal of Mathematics, 307(2):383–390, 2020

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.422545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27cf8aa0-9cd2-4d83-a117-19e364c124ca · outbound

This paper cites A new perspective on low-rank optimization.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age A new perspective on low-rank optimization

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.410973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 423f884e-a1f6-491f-885a-35fbbf3d8822 · outbound

This paper cites An update on the etiology and epidemiology of diabetes mellitus.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age An update on the etiology and epidemiology of diabetes mellitus

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.400999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d3f3c0a-9088-402f-a35b-f490b987eb7a · outbound

This paper cites Aging, diabetes, and the public health system in the united states.American journal of public health, 102(8):1482–1497, 2012.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Aging, diabetes, and the public health system in the united states.American journal of public health, 102(8):1482–1497, 2012

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.389079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4df413ca-ca67-4f1f-85f8-055014c55445 · outbound

This paper cites Global trends in diabetes complications: a review of current evidence.Diabetologia, 62:3–16, 2019.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Global trends in diabetes complications: a review of current evidence.Diabetologia, 62:3–16, 2019

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.377259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11648ee2-4df9-4091-af93-ec4f415529cb · outbound

This paper cites Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:59:04.757889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a1d9a9c-6436-4ce9-8ee5-e489ae433dd9 · outbound

This paper cites Diet and exercise in the prevention and treatment of type 2 diabetes mellitus.Nature Reviews Endocrinology, 16(10):545–555, 2020.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Diet and exercise in the prevention and treatment of type 2 diabetes mellitus.Nature Reviews Endocrinology, 16(10):545–555, 2020

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.364385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e4f27cea-8b12-4bff-a4d5-8ec7e1f3d0ac · outbound

This paper cites Steffes, Edward Gregg, Frederick L.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Steffes, Edward Gregg, Frederick L

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.349675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f739900a-fe3c-431e-877d-516fb06cc91d · outbound

This paper cites Short-term variability in measures of glycemia and implications for the classification of diabetes.Archives of internal medicine, 167(14):1545–1551, 2007.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Short-term variability in measures of glycemia and implications for the classification of diabetes.Archives of internal medicine, 167(14):1545–1551, 2007

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.324118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87e20238-fbe5-4045-969f-95fc654d5ac1 · outbound

This paper cites An overview of univariate and multivariate karhunen loève expansions in statistics.Journal of the Indian Society for Probability and Statistics, 23(2):285–326, 2022.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age An overview of univariate and multivariate karhunen loève expansions in statistics.Journal of the Indian Society for Probability and Statistics, 23(2):285–326, 2022

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.310476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac2ea13f-1a1a-47f7-956a-c3b2cf05fb3e · outbound

This paper cites Variable selection for high dimensional multivariate outcomes.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Variable selection for high dimensional multivariate outcomes

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.286814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 47410975-d695-4c51-9b09-b3879f731134 · outbound

This paper cites National health and nutrition examination survey: sample design, 2007-2010.Vital and Health Statistics.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age National health and nutrition examination survey: sample design, 2007-2010.Vital and Health Statistics

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.268278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff7b94c9-b57f-4cae-b7cb-2643d8a956f4 · outbound

This paper cites Dynamic human environmental exposome revealed by longitudinal personal monitoring.Cell, 175(1):277–291, 2018.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Dynamic human environmental exposome revealed by longitudinal personal monitoring.Cell, 175(1):277–291, 2018

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.256266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation abafca7a-5186-4755-9981-619e39b78523 · outbound

This paper cites Digital health: tracking physiomes and activity using wearable biosensors reveals useful health-related information.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Digital health: tracking physiomes and activity using wearable biosensors reveals useful health-related information

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.243683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1488ba30-9d15-4ec5-8720-24a359c6c184 · outbound

This paper cites Longitudinal personal DNA methylome dynamics in a human with a chronic condition.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Longitudinal personal DNA methylome dynamics in a human with a chronic condition

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.225183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2a3e66c-ff46-4652-ac77-2a2adc6221af · outbound

This paper cites Longitudinal multi-omics of host–microbe dynamics in prediabetes.Nature, 569(7758):663–671, 2019.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Longitudinal multi-omics of host–microbe dynamics in prediabetes.Nature, 569(7758):663–671, 2019

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.208135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 81de7d98-c6e3-42e1-929a-7855fd3a6b8c · outbound

This paper cites The function-on-scalar lasso with applications to longitudinal gwas.Electronic Journal of Statistics, 11(1):1351–1389, 2017.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age The function-on-scalar lasso with applications to longitudinal gwas.Electronic Journal of Statistics, 11(1):1351–1389, 2017

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.193799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b47eefc8-ff68-4f1f-9a6f-001a4e8cb394 · outbound

This paper cites Simultaneous variable selection and smoothing for high- dimensional function-on-scalar regression.Electronic Journal of Statistics, 12(2):4602–4639, 2018.

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Simultaneous variable selection and smoothing for high- dimensional function-on-scalar regression.Electronic Journal of Statistics, 12(2):4602–4639, 2018

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:59:05.182154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers