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Dirichlet-Laplace priors for optimal shrinkage

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
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
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
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
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
Tomoya Wakayama
Masaaki Imaizumi
60
1
0
25 May 2023
Hierarchical shrinkage Gaussian processes: applications to computer code
  emulation and dynamical system recovery
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
T. Tang
Simon Mak
David B. Dunson
34
4
0
01 Feb 2023
An extension of the Unified Skew-Normal family of distributions and
  application to Bayesian binary regression
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
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
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++
BayesMix: Bayesian Mixture Models in C++
Mario Beraha
Bruno Guindani
Matteo Gianella
A. Guglielmi
21
2
0
17 May 2022
Scalable Spike-and-Slab
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
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
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
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport
L. Duan
OT
39
11
0
24 Jul 2019
Fast Markov chain Monte Carlo for high dimensional Bayesian regression
  models with shrinkage priors
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
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
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
16
3
0
08 Jul 2018
Efficient sampling for Gaussian linear regression with arbitrary priors
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
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
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
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
Sparse Bayesian vector autoregressions in huge dimensions
G. Kastner
Florian Huber
29
92
0
11 Apr 2017
Estimation and Inference on Nonlinear and Heterogeneous Effects
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
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
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
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
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
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
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
High-dimensional generalized linear models and the lasso
Sara van de Geer
196
749
0
04 Apr 2008
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