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Tractable Bayesian variable selection: beyond normality
v1v2v3 (latest)

Tractable Bayesian variable selection: beyond normality

6 September 2016
D. Rossell
F. Rubio
ArXiv (abs)PDFHTML

Papers citing "Tractable Bayesian variable selection: beyond normality"

8 / 8 papers shown
Title
Adaptive random neighbourhood informed Markov chain Monte Carlo for
  high-dimensional Bayesian variable Selection
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection
Xitong Liang
Samuel Livingstone
Jim Griffin
BDL
75
10
0
22 Oct 2021
Approximate Laplace approximations for scalable model selection
Approximate Laplace approximations for scalable model selection
D. Rossell
Oriol Abril
A. Bhattacharya
74
16
0
14 Dec 2020
Foundations of Bayesian Learning from Synthetic Data
Foundations of Bayesian Learning from Synthetic Data
H. Wilde
Jack Jewson
Sebastian J. Vollmer
Chris Holmes
87
15
0
16 Nov 2020
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian
  Errors
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors
Kyoungjae Lee
Minwoo Chae
Lizhen Lin
54
1
0
30 Aug 2020
Nonasymptotic Laplace approximation under model misspecification
Nonasymptotic Laplace approximation under model misspecification
A. Bhattacharya
D. Pati
51
1
0
16 May 2020
Additive Bayesian variable selection under censoring and
  misspecification
Additive Bayesian variable selection under censoring and misspecification
D. Rossell
F. Rubio
CML
60
20
0
31 Jul 2019
Scalable Importance Tempering and Bayesian Variable Selection
Scalable Importance Tempering and Bayesian Variable Selection
Giacomo Zanella
Gareth O. Roberts
69
43
0
01 May 2018
Bayesian Bandwidth Test and Selection for High-dimensional Banded
  Precision Matrices
Bayesian Bandwidth Test and Selection for High-dimensional Banded Precision Matrices
Kyoungjae Lee
Lizhen Lin
45
2
0
23 Apr 2018
1