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1805.00541
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Scalable Importance Tempering and Bayesian Variable Selection
1 May 2018
T. Rigon
Gareth O. Roberts
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Papers citing
"Scalable Importance Tempering and Bayesian Variable Selection"
24 / 24 papers shown
A geometric approach to informed MCMC sampling
Vivekananda Roy
249
0
0
13 Jun 2024
Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces
Hyunwoong Chang
Quan Zhou
354
6
0
05 Apr 2024
Control Variates for MCMC
Leah South
Matthew Sutton
210
1
0
12 Feb 2024
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models
Entropy (Entropy), 2023
Xitong Liang
Samuel Livingstone
Jim Griffin
258
10
0
01 Aug 2023
Importance is Important: A Guide to Informed Importance Tempering Methods
Guanxun Li
Aaron Smith
Quan Zhou
266
2
0
13 Apr 2023
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection
Lan V. Truong
158
0
0
06 Apr 2023
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Changbeom Shim
B. Vo
B. Vo
Jonah Ong
Diluka Moratuwage
308
24
0
29 Nov 2022
Robust leave-one-out cross-validation for high-dimensional Bayesian models
Journal of the American Statistical Association (JASA), 2022
Luca Silva
T. Rigon
214
17
0
19 Sep 2022
Bayesian Variable Selection in a Million Dimensions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
M. Jankowiak
BDL
318
4
0
02 Aug 2022
Computing Bayes: From Then 'Til Now'
Statistical Science (Statist. Sci.), 2022
G. Martin
David T. Frazier
Christian P. Robert
373
18
0
01 Aug 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Neural Information Processing Systems (NeurIPS), 2022
Hyunwoong Chang
Changwoo J. Lee
Z. Luo
H. Sang
Quan Zhou
322
11
0
01 Jul 2022
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable Selection
Statistics and computing (Stat Comput), 2021
Xitong Liang
Samuel Livingstone
Jim Griffin
BDL
318
11
0
22 Oct 2021
Rapid Convergence of Informed Importance Tempering
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Quan Zhou
Aaron Smith
231
10
0
22 Jul 2021
Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression
M. Jankowiak
BDL
196
3
0
28 Jun 2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Quan Zhou
Jun Yang
Dootika Vats
Gareth O. Roberts
Jeffrey S. Rosenthal
255
31
0
12 May 2021
A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection
Bayesian Analysis (BA), 2021
C. Staerk
M. Kateri
I. Ntzoufras
381
3
0
03 May 2021
Sticky PDMP samplers for sparse and local inference problems
Statistics and computing (Stat Comput), 2021
J. Bierkens
Sebastiano Grazzi
Frank van der Meulen
Moritz Schauer
325
21
0
15 Mar 2021
Approximate Laplace approximations for scalable model selection
D. Rossell
Oriol Abril
A. Bhattacharya
505
17
0
14 Dec 2020
Reversible Jump PDMP Samplers for Variable Selection
Augustin Chevallier
Paul Fearnhead
Matthew Sutton
244
22
0
22 Oct 2020
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
Journal of Computational And Graphical Statistics (JCGS), 2020
Dongjin Li
Somak Dutta
Vivekananda Roy
253
13
0
13 Jun 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
418
20
0
14 Apr 2020
Revisiting the balance heuristic for estimating normalising constants
F. Medina-Aguayo
R. Everitt
285
2
0
18 Aug 2019
Additive Bayesian variable selection under censoring and misspecification
Statistical Science (Statist. Sci.), 2019
D. Rossell
F. Rubio
CML
364
23
0
31 Jul 2019
In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p
Jim Griffin
Krys Latuszynski
M. Steel
AI4TS
280
38
0
18 Aug 2017
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