Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:19:24.870268Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.10045.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:19:24.870268Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Outlier detection in high dimension using regularization
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2020).Large covariance and autocovariance ma- trices
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2014).Data analysis and approximate models: Model choice, location-scale, analysis of variance, nonparametric regression and image anal- ysis
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 12
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 13
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2015).Statistical learning with sparsity
Reference 14
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Observation 567fb41b-5d6c-4064-b5a7-c8615f3fac11 · outbound
A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Robust Learning with Jacobian Regularization
Reference 15
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 16
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Observation 70b5526b-7189-4b4b-9972-caa29bd21bce · outbound
A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 17
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 18
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 19
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2022).Bayes rules! An introduction to applied Bayesian modeling
Reference 20
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 21
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2019).Robust statistical methods with R, 2nd ed
Reference 22
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Reference 23
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 24
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 25
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Reference 26
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 27
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 28
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2023).Stein estimation
Reference 29
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 30
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 31
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 32
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Empirical Bayes in Bayesian learning: understanding a common practice
Reference 33
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 34
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Matrix Compression via Randomized Low Rank and Low Precision Factorization
Reference 35
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2019).Theory of ridge regression estimation with applications
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Reference 37
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Reference 38
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Reference 39
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2020).Efficient processing of deep neural networks
Reference 40
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 41
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 42
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2023).Computational linear algebra with applications and MAT- LAB computations
Reference 43
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2013).Robust data mining
Reference 44
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 45
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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work
Reference 46
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