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Paper Citation Record · LEDGER

A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts

As of 13 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.

pith.paper-citation-record.v1
2509.10045 v1

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measured 46 of 46 reference resolution

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measured 46 of 46 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation e5f880a4-7072-4700-89dd-87c933259d38 · outbound

This paper cites Outlier detection in high dimension using regularization.

A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Outlier detection in high dimension using regularization

Reference 1

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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work

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This paper cites (2020).Large covariance and autocovariance ma- trices.

A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2020).Large covariance and autocovariance ma- trices

Reference 4

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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Unresolved cited work

Reference 5

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This paper cites (2014).Data analysis and approximate models: Model choice, location-scale, analysis of variance, nonparametric regression and image anal- ysis.

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

Reference 7

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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2015).Statistical learning with sparsity

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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts Robust Learning with Jacobian Regularization

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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 (2019).Robust statistical methods with R, 2nd ed

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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2023).Stein estimation

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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

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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

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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

Reference 36

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A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2020).Efficient processing of deep neural networks

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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

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This paper cites (2023).Computational linear algebra with applications and MAT- LAB computations.

A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2023).Computational linear algebra with applications and MAT- LAB computations

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This paper cites (2013).Robust data mining.

A Bayesian Framework for Regularized Estimation in Multivariate Models Integrating Approximate Computing Concepts (2013).Robust data mining

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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 Unresolved cited work

Reference 46

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