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Tractable Bayesian variable selection: beyond normality

Tractable Bayesian variable selection: beyond normality

6 September 2016
D. Rossell
F. Rubio
ArXivPDFHTML

Papers citing "Tractable Bayesian variable selection: beyond normality"

7 / 7 papers shown
Title
Approximate Laplace approximations for scalable model selection
Approximate Laplace approximations for scalable model selection
D. Rossell
Oriol Abril
A. Bhattacharya
26
15
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
19
15
0
16 Nov 2020
Nonasymptotic Laplace approximation under model misspecification
Nonasymptotic Laplace approximation under model misspecification
A. Bhattacharya
D. Pati
19
1
0
16 May 2020
Learning without Concentration for General Loss Functions
Learning without Concentration for General Loss Functions
S. Mendelson
63
65
0
13 Oct 2014
Non-Local Priors for High-Dimensional Estimation
Non-Local Priors for High-Dimensional Estimation
D. Rossell
D. Telesca
38
80
0
20 Feb 2014
Learning without Concentration
Learning without Concentration
S. Mendelson
92
333
0
01 Jan 2014
Adaptive robust variable selection
Adaptive robust variable selection
Jianqing Fan
Yingying Fan
Emre Barut
101
199
0
22 May 2012
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