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1403.0735
Cited By
Bayesian linear regression with sparse priors
4 March 2014
I. Castillo
Johannes Schmidt-Hieber
A. van der Vaart
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Papers citing
"Bayesian linear regression with sparse priors"
30 / 30 papers shown
Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
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Animesh Garg
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0
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Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest
Yu Zheng
Leo L. Duan
Arkaprava Roy
25
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0
27 Sep 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression
The Tien Mai
26
1
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19 Mar 2024
Bernstein von-Mises Theorem for g-prior and nonlocal prior
Xiao Fang
Malay Ghosh
10
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0
26 Jan 2024
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion
Veronika Rockova
6
0
0
05 Sep 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout
Jingjing Xue
Min Liu
Sheng Sun
Yuwei Wang
Hui Jiang
Xue Jiang
11
7
0
14 Jul 2023
Bayesian Inference for
k
k
k
-Monotone Densities with Applications to Multiple Testing
Kang-Kang Wang
S. Ghosal
14
1
0
08 Jun 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
Tomoya Wakayama
Masaaki Imaizumi
47
1
0
25 May 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models
Yiqi Tang
Ryan Martin
16
3
0
14 Mar 2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
T. Tang
Simon Mak
David B. Dunson
14
4
0
01 Feb 2023
On the optimization and pruning for Bayesian deep learning
X. Ke
Yanan Fan
BDL
UQCV
12
1
0
24 Oct 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions
Dapeng Yao
Fangzheng Xie
Yanxun Xu
21
1
0
21 Jul 2022
Scalable Spike-and-Slab
N. Biswas
Lester W. Mackey
Xiao-Li Meng
GP
12
11
0
04 Apr 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear models
Xuan Cao
Kyoungjae Lee
20
1
0
14 Mar 2022
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications
Se Yoon Lee
10
17
0
28 Jan 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
Hugh Dance
Brooks Paige
GP
20
9
0
08 Nov 2021
Identifiable Deep Generative Models via Sparse Decoding
Gemma E. Moran
Dhanya Sridhar
Yixin Wang
David M. Blei
BDL
10
44
0
20 Oct 2021
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
32
22
0
14 Jul 2021
Approximate Laplace approximations for scalable model selection
D. Rossell
Oriol Abril
A. Bhattacharya
8
15
0
14 Dec 2020
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
18
28
0
22 Oct 2020
Nearly optimal Bayesian Shrinkage for High Dimensional Regression
Qifan Song
F. Liang
14
77
0
24 Dec 2017
Uncertainty quantification for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
23
71
0
07 Jul 2016
Probabilistic community detection with unknown number of communities
J. Geng
A. Bhattacharya
D. Pati
19
72
0
25 Feb 2016
Needles and straw in a haystack: robust confidence for possibly sparse sequences
E. Belitser
N. Nurushev
12
24
0
05 Nov 2015
A General Framework for Bayes Structured Linear Models
Chao Gao
A. van der Vaart
Harrison H. Zhou
30
58
0
06 Jun 2015
Optimal Bayesian estimation in stochastic block models
D. Pati
A. Bhattacharya
22
7
0
26 May 2015
Gaussian Approximation of General Nonparametric Posterior Distributions
Zuofeng Shang
Guang Cheng
23
4
0
13 Nov 2014
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors
S. V. D. Pas
B. Kleijn
A. van der Vaart
33
165
0
01 Apr 2014
Correlated variables in regression: clustering and sparse estimation
Peter Buhlmann
Philipp Rutimann
Sara van de Geer
Cun-Hui Zhang
80
181
0
26 Sep 2012
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