Paper Citation Record · LEDGER

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.10975.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.10975 v2

Coverage vector

measured 43 of 43 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 3c683181-dcfa-42f2-8c25-6f1b40ac27dd · outbound

This paper cites A selective review of robust variable selection with applications in bioinformatics,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors A selective review of robust variable selection with applications in bioinformatics,

Reference 1

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Observation 35b46fa5-6c00-4ce3-83c1-3c20899bc371 · outbound

This paper cites High-dimensional inference: confidence intervals, p-values and r-software hdi,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors High-dimensional inference: confidence intervals, p-values and r-software hdi,

Reference 2

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This paper cites Is seeing believing? a prac- titioner’s perspective on high-dimensional statistical inference in cancer genomics stud- ies,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Is seeing believing? a prac- titioner’s perspective on high-dimensional statistical inference in cancer genomics stud- ies,

Reference 3

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Observation f65c52ef-b474-434d-99ce-3a0589778c62 · outbound

This paper cites A review of bayesian variable selection methods: what, how and which,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors A review of bayesian variable selection methods: what, how and which,

Reference 4

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This paper cites Bayesian variable selection in linear regression,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Bayesian variable selection in linear regression,

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Observation 38e2c7ad-8499-470a-a75f-a1c46f0021ce · outbound

This paper cites Variable selection via gibbs sampling,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Variable selection via gibbs sampling,

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Observation 76b1f797-c36c-4027-83a6-0f6f3643cdec · outbound

This paper cites Spike-and-slab meets lasso: A review of the spike-and-slab lasso,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Spike-and-slab meets lasso: A review of the spike-and-slab lasso,

Reference 7

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This paper cites The horseshoe estimator for sparse signals,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors The horseshoe estimator for sparse signals,

Reference 8

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This paper cites Shrink globally, act locally: Sparse bayesian regulariza- tion and prediction,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Shrink globally, act locally: Sparse bayesian regulariza- tion and prediction,

Reference 9

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This paper cites Lasso meets horseshoe,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Lasso meets horseshoe,

Reference 10

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Observation dab0d625-1558-43c6-9164-1a158a1d295c · outbound

This paper cites Robust bayesian variable selection for gene–environment interactions,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Robust bayesian variable selection for gene–environment interactions,

Reference 11

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This paper cites Uncertainty quantification for the horseshoe (with discussion),.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Uncertainty quantification for the horseshoe (with discussion),

Reference 12

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This paper cites The horseshoe+ estimator of ultra-sparse signals,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors The horseshoe+ estimator of ultra-sparse signals,

Reference 13

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Observation 4790237f-ba85-4aa3-b4cf-76b244e7dbf0 · outbound

This paper cites Sparsity information and regularization in the horseshoe and other shrinkage priors,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Sparsity information and regularization in the horseshoe and other shrinkage priors,

Reference 14

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Observation 4b1d5d98-f45c-4736-bebc-af2b6e0d1cae · outbound

This paper cites Bayesian semiparametric modelling in quantile regression,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Bayesian semiparametric modelling in quantile regression,

Reference 15

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This paper cites A general framework for updating belief distributions,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors A general framework for updating belief distributions,

Reference 16

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This paper cites Gibbs sampling methods for bayesian quantile regres- sion,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Gibbs sampling methods for bayesian quantile regres- sion,

Reference 17

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This paper cites Mean field variational bayes for elaborate distributions,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Mean field variational bayes for elaborate distributions,

Reference 18

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This paper cites A simple sampler for the horseshoe estimator,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors A simple sampler for the horseshoe estimator,

Reference 19

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This paper cites The spike-and-slab quantile lasso for robust variable selection in cancer genomics studies,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors The spike-and-slab quantile lasso for robust variable selection in cancer genomics studies,

Reference 20

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This paper cites The spike-and-slab lasso,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors The spike-and-slab lasso,

Reference 21

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This paper cites Horseshoe prior bayesian quantile regression,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Horseshoe prior bayesian quantile regression,

Reference 22

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This paper cites Package ‘horseshoe’,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Package ‘horseshoe’,

Reference 23

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors High-Dimensional Bayesian Regularised Regression with the BayesReg Package

Reference 24

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Bayesian quantile regression,

Reference 25

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This paper cites Posterior inference in bayesian quantile regression with asymmetric laplace likelihood,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Posterior inference in bayesian quantile regression with asymmetric laplace likelihood,

Reference 26

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Optimal predictive model selection,

Reference 27

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors The median probability model and correlated variables,

Reference 28

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Bayesian estimation of sparse signals with a continuous spike-and-slab prior,

Reference 29

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors The bayesian elastic net,

Reference 30

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Regularization and variable selection via the elastic net,

Reference 31

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This paper cites Nearly optimal bayesian shrinkage for high-dimensional regres- sion,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Nearly optimal bayesian shrinkage for high-dimensional regres- sion,

Reference 32

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Inference from iterative simulation using multiple se- quences,

Reference 33

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors General methods for monitoring convergence of iterative simulations,

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Gelman, J

Reference 35

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Regulation of gene expression in the mammalian eye and its relevance to eye disease,

Reference 36

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Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Adaptive lasso for sparse high-dimensional regres- sion models,

Reference 37

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This paper cites Quantile regression for analyzing heterogeneity in ultra- high dimension,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Quantile regression for analyzing heterogeneity in ultra- high dimension,

Reference 38

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This paper cites Penalized generalized estimating equations for high- dimensional longitudinal data analysis,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Penalized generalized estimating equations for high- dimensional longitudinal data analysis,

Reference 39

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This paper cites Penalized variable selection for lipid–environment interactions in a longitudinal lipidomics study,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Penalized variable selection for lipid–environment interactions in a longitudinal lipidomics study,

Reference 40

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This paper cites Sparse group variable selection for gene–environment interactions in the longitudinal study,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Sparse group variable selection for gene–environment interactions in the longitudinal study,

Reference 41

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This paper cites bayesqr: A bayesian approach to quantile regres- sion,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors bayesqr: A bayesian approach to quantile regres- sion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:29:15.522909Z

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Observation 4addc0af-0923-432d-a965-d28a8d076fc6 · outbound

This paper cites Identifying gene–environment interactions with robust marginal bayesian variable selection,.

Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors Identifying gene–environment interactions with robust marginal bayesian variable selection,

Reference 43

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