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Sticky PDMP samplers for sparse and local inference problems

Sticky PDMP samplers for sparse and local inference problems

15 March 2021
J. Bierkens
Sebastiano Grazzi
Frank van der Meulen
Moritz Schauer
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Papers citing "Sticky PDMP samplers for sparse and local inference problems"

6 / 6 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
35
10
0
22 Oct 2021
Spike and slab variational Bayes for high dimensional logistic
  regression
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
72
29
0
22 Oct 2020
The Boomerang Sampler
The Boomerang Sampler
J. Bierkens
Sebastiano Grazzi
K. Kamatani
Gareth O. Roberts
15
32
0
24 Jun 2020
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
67
232
0
11 Jul 2016
Leave Pima Indians alone: binary regression as a benchmark for Bayesian
  computation
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
Nicolas Chopin
James Ridgway
55
76
0
29 Jun 2015
Learning Networks of Stochastic Differential Equations
Learning Networks of Stochastic Differential Equations
José Bento
M. Ibrahimi
Andrea Montanari
102
73
0
01 Nov 2010
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