SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input | Paper Citation Record

Observation 535b05ed-60c4-45f7-9b26-018f6a05945c · outbound

This paper cites AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs

Reference 1

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Observation 3c5895d5-72fa-480e-945b-5908405ed2cb · outbound

This paper cites Discovery of extended summary graphs in time series.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Discovery of extended summary graphs in time series

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.790170Z

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Observation c21713ba-df9d-4df2-a4fd-2311c641ab3e · outbound

This paper cites Survey and Evaluation of Causal Discovery Methods for Time Series.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Survey and Evaluation of Causal Discovery Methods for Time Series

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.775771Z

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Observation 2416dd32-3d00-433e-ac75-2f63a161b635 · outbound

This paper cites A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series

Reference 4

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Observation a56d25e6-c6eb-42ca-8414-219858b901ef · outbound

This paper cites Bayesian compressive sensing using laplace priors.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Bayesian compressive sensing using laplace priors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.746424Z

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Observation 360b1e37-2104-468a-9bb7-1b5f7cc04e68 · outbound

This paper cites Asymptotic theory of least absolute error regression.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Asymptotic theory of least absolute error regression

Reference 6

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Observation d77ca7e8-dc6a-41f3-8963-d7a1410a925c · outbound

This paper cites Neural graphical modelling in continuous-time: consistency guarantees and algorithms.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Neural graphical modelling in continuous-time: consistency guarantees and algorithms

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.715527Z

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Observation 9952b19d-d9fb-4d8a-80fa-321a3b10df12 · outbound

This paper cites Neural Additive Vector Autoregression Models for Causal Discovery in Time Series.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Neural Additive Vector Autoregression Models for Causal Discovery in Time Series

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.700693Z

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Observation c31b255e-6750-4734-a13d-e4ecffeb7962 · outbound

This paper cites Bayesian linear regression with sparse priors.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Bayesian linear regression with sparse priors

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.686642Z

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Observation 4f42d287-1a40-4834-9457-3bd000cb0b8f · outbound

This paper cites Using generalized gaussian distributions to improve regression error modeling for deep learning-based speech enhancement.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Using generalized gaussian distributions to improve regression error modeling for deep learning-based speech enhancement

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.672712Z

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Observation 75e35e96-9dd8-47fb-888e-0f2a2e28005f · outbound

This paper cites CUTS+: High-dimensional Causal Discovery from Irregular Time-series.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input CUTS+: High-dimensional Causal Discovery from Irregular Time-series

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.658152Z

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Observation 404a56c6-2e40-4f18-ab18-05d51a7f2484 · outbound

This paper cites Large-Sample Learning of Bayesian Networks is NP-Hard.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Large-Sample Learning of Bayesian Networks is NP-Hard

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.643212Z

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Observation 60f5611c-8f9e-426b-9c95-eb8b1e912530 · outbound

This paper cites On the multivariate laplace distribution.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input On the multivariate laplace distribution

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.460205Z

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Observation bc6042d7-fd1e-4735-a9d0-17e1d2e5a6c3 · outbound

This paper cites On Causal Discovery from Time Series Data using FCI.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input On Causal Discovery from Time Series Data using FCI

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.446047Z

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Observation fdf4edb9-fd27-43eb-ab17-efad00ed4098 · outbound

This paper cites Efficient Capital Markets: A Review of Theory and Empirical Work.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Efficient Capital Markets: A Review of Theory and Empirical Work

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.431339Z

Source-reported events for the cited work

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Observation 0cdf292b-dafb-4403-821b-3ea976247bb5 · outbound

This paper cites Discrete mixtures of normals pseudo maximum likelihood estimators of structural vector autoregressions.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Discrete mixtures of normals pseudo maximum likelihood estimators of structural vector autoregressions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.416632Z

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Observation d7d96ee8-f882-47ff-aaa4-652d37033f2e · outbound

This paper cites IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.402365Z

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Observation fbdbe2e9-edd8-44cf-913d-59047f57e1cb · outbound

This paper cites High-recall causal discovery for autocorrelated time series with latent confounders.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input High-recall causal discovery for autocorrelated time series with latent confounders

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.387686Z

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Observation ba7bc83b-bc43-4c93-b604-963007528658 · outbound

This paper cites Causal Discovery from Temporal Data: An Overview and New Perspectives.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Causal Discovery from Temporal Data: An Overview and New Perspectives

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.372159Z

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Observation a5f35fcb-6931-4f7a-9d9d-cd91445ed182 · outbound

This paper cites Discovering Temporal Causal Relations from Subsampled Data.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Discovering Temporal Causal Relations from Subsampled Data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.357572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6482b524-e719-463a-a530-2b4e375fcc57 · outbound

This paper cites Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise

Reference 21

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Source-reported events for the cited work

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Observation eb497bef-ea3b-4d10-a740-b7b593a7a5e9 · outbound

This paper cites Sparse probabilistic principal component analysis.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Sparse probabilistic principal component analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.342466Z

Source-reported events for the cited work

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Observation df1555f0-94ba-4c24-ba77-2cc7c3c0d695 · outbound

This paper cites A Survey on Causal Discovery Methods for I.I.D.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input A Survey on Causal Discovery Methods for I.I.D

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.326841Z

Source-reported events for the cited work

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Observation 25219d38-49fb-4763-875c-e48c25afc596 · outbound

This paper cites Sparse identification of dynamical systems by reweighted l1-regularized least absolute deviation regression.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Sparse identification of dynamical systems by reweighted l1-regularized least absolute deviation regression

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.311247Z

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Observation 3a71ab11-0c51-4b09-901a-5abd9162b9ab · outbound

This paper cites Horn and Charles R.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Horn and Charles R

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.293133Z

Source-reported events for the cited work

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Observation 2c35fb68-3b42-4ca7-aa73-f4442d730ead · outbound

This paper cites Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.277800Z

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Observation d923a5ae-75f6-48f0-a331-0c60e8d232b7 · outbound

This paper cites Regularized least absolute deviation-based sparse identification of dynamical systems.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Regularized least absolute deviation-based sparse identification of dynamical systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.263108Z

Source-reported events for the cited work

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Observation bbdc3828-1461-481c-95ff-17acc139ceb3 · outbound

This paper cites Linkages among the Foreign Exchange, Stock, and Bond Markets in Japan and the United States.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Linkages among the Foreign Exchange, Stock, and Bond Markets in Japan and the United States

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.247042Z

Source-reported events for the cited work

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Observation 1e263372-6ac2-4752-af7e-d12a0c3a2064 · outbound

This paper cites Sparse probabilistic matrix factorization by laplace distribution for collaborative filtering.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Sparse probabilistic matrix factorization by laplace distribution for collaborative filtering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.230274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a427050-7d45-4e36-a2c1-0e0a5c98696c · outbound

This paper cites Estimating high-dimensional directed acyclic graphs with the pc-algorithm.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Estimating high-dimensional directed acyclic graphs with the pc-algorithm

Reference 30

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Source-reported events for the cited work

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Observation 720952c4-20c1-4404-abf6-cd484de3d9a8 · outbound

This paper cites Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.205332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d219216-ff26-485f-9da6-165796ed108b · outbound

This paper cites Structural Vector Autoregressions.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Structural Vector Autoregressions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.190239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 46f43322-fe65-4279-8b29-67f7e4ac71b8 · outbound

This paper cites Temporal node centrality in complex networks.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Temporal node centrality in complex networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.174747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f6b6ba2-0fd0-4956-a19f-650b49051c67 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Adam: A Method for Stochastic Optimization

Reference 34

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Source-reported events for the cited work

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Observation 4a4d7a21-06b2-4d6f-8585-3d6950862914 · outbound

This paper cites Causality, Probability, and Time.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Causality, Probability, and Time

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.160020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53cc4f40-dc90-49b3-90fa-3563dbc38790 · outbound

This paper cites Regression model estimation using least absolute deviations, least squares deviations and minimax absolute deviations criteria.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Regression model estimation using least absolute deviations, least squares deviations and minimax absolute deviations criteria

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.145536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7bb16e5-9656-4a61-9497-589fe627603d · outbound

This paper cites Gradient-based neural dag learning.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Gradient-based neural dag learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.130063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e911d91b-c980-454a-a26b-3b65ee8ce313 · outbound

This paper cites Identification and estimation of non-gaussian structural vector autoregressions.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Identification and estimation of non-gaussian structural vector autoregressions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.115010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 149197c6-b68a-4d83-97b3-e97a2b0ea4df · outbound

This paper cites A fast maximum likelihood estimation approach to lad regression.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input A fast maximum likelihood estimation approach to lad regression

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.099868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b53dc530-c3e9-48e3-a9d5-afb21c4194b1 · outbound

This paper cites Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.085409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 96b3796c-dfa1-4fcb-bb8d-85d077e1feab · outbound

This paper cites New Introduction to Multiple Time Series Analysis.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input New Introduction to Multiple Time Series Analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.069957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1308b65b-d36f-44ae-86c9-9837fc9ae924 · outbound

This paper cites Estimation of non-gaussian svar models: a pseudo-log-likelihood function approach.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Estimation of non-gaussian svar models: a pseudo-log-likelihood function approach

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.054865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2263e3f2-bec6-4a51-8987-0ee250ac2ade · outbound

This paper cites Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.040191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90c74c23-34a2-42c4-a645-925fe8ae5e30 · outbound

This paper cites Generating realistic in silico gene networks for performance assessment of reverse engineering methods.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Generating realistic in silico gene networks for performance assessment of reverse engineering methods

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.024839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 306d7291-b3f2-4780-9adf-cef7bd036bf8 · outbound

This paper cites Interpretable Models for Granger Causality Using Self-explaining Neural Networks.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:17.007774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f1e8d0e-3930-41db-aa80-ee334f144c7f · outbound

This paper cites Learning DAGs from Data with Few Root Causes.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Learning DAGs from Data with Few Root Causes

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.992821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 109df2d6-89c6-49c4-b4fd-4e1f2dffaa98 · outbound

This paper cites Learning Signals and Graphs from Time-Series Graph Data with Few Causes.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Learning Signals and Graphs from Time-Series Graph Data with Few Causes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.977092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f5bcc16-4a4e-42a3-9b08-d6303fb2fa1d · outbound

This paper cites The minimum sum of absolute errors regression: a robust alternative to the least squares regression.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input The minimum sum of absolute errors regression: a robust alternative to the least squares regression

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.960813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e4f8284-e139-4fc3-890b-9a92b8c0f744 · outbound

This paper cites Causal Discovery with Attention-Based Convolutional Neural Networks.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Causal Discovery with Attention-Based Convolutional Neural Networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.944935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33383958-17ee-44d6-86c5-d57a7a6ea1ce · outbound

This paper cites Large sample estimation and hypothesis testing.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Large sample estimation and hypothesis testing

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:02:16.205568Z

Source-reported events for the cited work

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Observation 0ba7cd38-111a-46f4-b0aa-3b4275a40601 · outbound

This paper cites On the Role of Sparsity and DAG Constraints for Learning Linear DAGs.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.918109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f13bf72-fd43-4c10-9568-3f9d4e24709f · outbound

This paper cites DYNOTEARS: Structure Learning from Time-Series Data.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input DYNOTEARS: Structure Learning from Time-Series Data

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.901352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71101bed-4c71-41b1-b8fb-32d3c74e7712 · outbound

This paper cites Identifiability of Additive Noise Models Using Conditional Variances.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Identifiability of Additive Noise Models Using Conditional Variances

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.886173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49e4e538-25be-492d-b710-59e70cfbf14a · outbound

This paper cites Identifiability of Gaussian structural equation models with equal error variances.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Identifiability of Gaussian structural equation models with equal error variances

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.871277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a61014d5-3ea7-4d4d-bba5-ef11556720c9 · outbound

This paper cites Structural intervention distance for evaluating causal graphs.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Structural intervention distance for evaluating causal graphs

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.856076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f3192ac-117e-49c1-9a87-36c18596dac9 · outbound

This paper cites Causal Inference on Time Series using Structural Equation Models.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Causal Inference on Time Series using Structural Equation Models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.840946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90853fb6-7145-41a9-989d-ce5012999b68 · outbound

This paper cites Elements of causal inference: foundations and learning algorithms.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Elements of causal inference: foundations and learning algorithms

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T22:02:16.237603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc6e8733-4905-426c-9b41-4e484926ba1f · outbound

This paper cites Asymptotics for least absolute deviation regression estimators.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Asymptotics for least absolute deviation regression estimators

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.815370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8eb31ec-797c-4ea0-9aef-2c7738b40a2b · outbound

This paper cites Towards a rigorous assessment of systems biology models: the dream3 challenges.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Towards a rigorous assessment of systems biology models: the dream3 challenges

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.801032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 717bd05e-78b6-4b38-b4ef-b6015fcf3f77 · outbound

This paper cites Nvidia shares soar nearly 30\ https://www.reuters.com/technology/nvidia-forecasts-second-quarter-revenue-above-estimates-2023-05-24/, 2023.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Nvidia shares soar nearly 30\ https://www.reuters.com/technology/nvidia-forecasts-second-quarter-revenue-above-estimates-2023-05-24/, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.786670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 844d3416-5c06-4b35-b799-9d3195dfdecc · outbound

This paper cites Facebook parent meta declares first dividend, shares soar.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Facebook parent meta declares first dividend, shares soar

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.772201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5c879cbb-ae3c-4d4b-8b2f-9bbf68d34ac5 · outbound

This paper cites Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.757868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3cd0f9b-c099-49a6-922b-1516e7757aa1 · outbound

This paper cites Detecting and quantifying causal associations in large nonlinear time series datasets.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Detecting and quantifying causal associations in large nonlinear time series datasets

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.742728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 325297d7-e57c-494b-84bf-2459866bc4a3 · outbound

This paper cites a t zu Berlin, Wirtschaftswissenschaftliche Fakult \.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input a t zu Berlin, Wirtschaftswissenschaftliche Fakult \

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.727184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3824fe90-822a-402c-805b-2a7d29fc953d · outbound

This paper cites Causal Fourier Analysis on Directed Acyclic Graphs and Posets.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Causal Fourier Analysis on Directed Acyclic Graphs and Posets

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T22:02:16.272735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8dd51f6-545a-428a-bca3-8176113f4fe7 · outbound

This paper cites Hoyer, Aapo Hyvärinen, and Antti Kerminen.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Hoyer, Aapo Hyvärinen, and Antti Kerminen

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.712007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed7cbaab-aadf-4c3b-9903-8ff81f679a41 · outbound

This paper cites DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.695470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1829c30-8bd4-4b20-8923-a28cf7c44519 · outbound

This paper cites Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered , 1980.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered , 1980

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.679444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4e3fa17c-07de-4c7d-8deb-d1561fd5831d · outbound

This paper cites Multivariable Feedback Control: Analysis and Design.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Multivariable Feedback Control: Analysis and Design

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.663345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 57081049-9c9e-43bd-8700-dc636c17167a · outbound

This paper cites Network modelling methods for FMRI.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Network modelling methods for FMRI

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.646129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f5a242e7-8d5b-4b2c-bec4-f18a67ec7f99 · outbound

This paper cites Detecting Causality in Complex Ecosystems.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Detecting Causality in Complex Ecosystems

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.631174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4dd3f968-db18-4e47-882a-9a284767ae60 · outbound

This paper cites NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.615697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b352bd0e-6f55-4296-a5a3-b60b13d7902c · outbound

This paper cites Introduction to metric and topological spaces.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Introduction to metric and topological spaces

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.599551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20a0a408-ed23-41c5-a6de-24c7a5d1681c · outbound

This paper cites Neural Granger Causality.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Neural Granger Causality

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.583132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d5e5096-5f13-41b9-be0a-b2aea2deaf13 · outbound

This paper cites Regression shrinkage and selection via the lasso.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Regression shrinkage and selection via the lasso

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T22:02:16.318199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 938dcb32-ecde-4013-a577-2a3c2c266ee7 · outbound

This paper cites D’ya like DAGs? A survey on structure learning and causal discovery.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input D’ya like DAGs? A survey on structure learning and causal discovery

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.557065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c280eb22-2c76-471f-964c-f089c6881ec9 · outbound

This paper cites Scalable Causal Graph Learning through a Deep Neural Network.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Scalable Causal Graph Learning through a Deep Neural Network

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.541545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4e9316e1-8a48-47a6-96e3-a3617bc7cae2 · outbound

This paper cites Detecting the causal influence of thermal environments among climate regions in the United States.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input Detecting the causal influence of thermal environments among climate regions in the United States

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.525420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e825cd83-137f-4187-b6cc-8994864fe27f · outbound

This paper cites DAGs with NO TEARS: Continuous Optimization for Structure Learning.

SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input DAGs with NO TEARS: Continuous Optimization for Structure Learning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:02:16.508773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Reference resolution

Outbound references

Pith citing papers