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1401.5398
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Dirichlet-Laplace priors for optimal shrinkage
21 January 2014
A. Bhattacharya
D. Pati
Natesh S. Pillai
David B. Dunson
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Papers citing
"Dirichlet-Laplace priors for optimal shrinkage"
30 / 30 papers shown
Title
Bayesian Joint Additive Factor Models for Multiview Learning
Niccolò Anceschi
F. Ferrari
David B. Dunson
Himel Mallick
33
1
0
02 Jun 2024
The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions
David Kohns
Noa Kallioinen
Yann McLatchie
Aki Vehtari
22
0
0
30 May 2024
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion
Veronika Rockova
11
0
0
05 Sep 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
Tomoya Wakayama
Masaaki Imaizumi
60
0
0
25 May 2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
T. Tang
Simon Mak
David B. Dunson
31
4
0
01 Feb 2023
An extension of the Unified Skew-Normal family of distributions and application to Bayesian binary regression
P. Onorati
B. Liseo
43
3
0
07 Sep 2022
Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior
Javier Enrique Aguilar
Paul-Christian Bürkner
9
25
0
15 Aug 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions
Dapeng Yao
Fangzheng Xie
Yanxun Xu
38
1
0
21 Jul 2022
BayesMix: Bayesian Mixture Models in C++
Mario Beraha
Bruno Guindani
Matteo Gianella
A. Guglielmi
21
2
0
17 May 2022
Scalable Spike-and-Slab
N. Biswas
Lester W. Mackey
Xiao-Li Meng
GP
35
11
0
04 Apr 2022
Sparse Linear Mixed Model Selection via Streamlined Variational Bayes
Emanuele Degani
Luca Maestrini
Dorota Toczydlowska
M. Wand
22
1
0
13 Oct 2021
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants
K. Posch
Christian Truden
P. Hungerländer
J. Pilz
11
27
0
26 May 2020
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport
L. Duan
OT
36
11
0
24 Jul 2019
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors
Rui Jin
Aixin Tan
27
8
0
16 Mar 2019
Projective Inference in High-dimensional Problems: Prediction and Feature Selection
Juho Piironen
Markus Paasiniemi
Aki Vehtari
30
94
0
04 Oct 2018
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint
Jiyang Xie
Zhanyu Ma
Guoqiang Zhang
Jing-Hao Xue
Jen-Tzung Chien
Zhiqing Lin
Jun Guo
14
3
0
08 Jul 2018
Efficient sampling for Gaussian linear regression with arbitrary priors
P. R. Hahn
Jingyu He
H. Lopes
11
32
0
14 Jun 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression
Qifan Song
F. Liang
22
76
0
24 Dec 2017
Targeted Random Projection for Prediction from High-Dimensional Features
Minerva Mukhopadhyay
David B. Dunson
31
15
0
06 Dec 2017
The Inverse Gamma-Gamma Prior for Optimal Posterior Contraction and Multiple Hypothesis Testing
Ray Bai
M. Ghosh
15
7
0
12 Oct 2017
Bayes Shrinkage at GWAS scale: Convergence and Approximation Theory of a Scalable MCMC Algorithm for the Horseshoe Prior
J. Johndrow
Paulo Orenstein
A. Bhattacharya
39
23
0
02 May 2017
Sparse Bayesian vector autoregressions in huge dimensions
G. Kastner
Florian Huber
27
92
0
11 Apr 2017
Estimation and Inference on Nonlinear and Heterogeneous Effects
Marc Ratkovic
D. Tingley
20
11
0
16 Mar 2017
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection
Antik Chakraborty
A. Bhattacharya
Bani Mallick
31
26
0
02 Dec 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Minwoo Chae
Lizhen Lin
David B. Dunson
33
15
0
06 Aug 2016
Uncertainty quantification for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
38
73
0
07 Jul 2016
Prediction risk for the horseshoe regression
A. Bhadra
J. Datta
Yunfan Li
Nicholas G. Polson
Brandon T. Willard
14
16
0
16 May 2016
Bayesian Variable Selection for Skewed Heteroscedastic Response
Libo Wang
Yuanyuan Tang
D. Sinha
D. Pati
S. Lipsitz
22
3
0
29 Feb 2016
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression
A. Bhattacharya
Antik Chakraborty
Bani Mallick
35
176
0
15 Jun 2015
High-dimensional generalized linear models and the lasso
Sara van de Geer
196
749
0
04 Apr 2008
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