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The Boomerang Sampler

The Boomerang Sampler

24 June 2020
J. Bierkens
Sebastiano Grazzi
K. Kamatani
Gareth O. Roberts
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Papers citing "The Boomerang Sampler"

11 / 11 papers shown
Title
A piecewise deterministic Monte Carlo method for diffusion bridges
A piecewise deterministic Monte Carlo method for diffusion bridges
J. Bierkens
Sebastiano Grazzi
Frank van der Meulen
Moritz Schauer
DiffM
38
22
0
16 Jan 2020
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain
  Monte Carlo
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain Monte Carlo
P. Holderrieth
55
10
0
20 Oct 2019
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond
  the reversible scenario
Peskun-Tierney ordering for Markov chain and process Monte Carlo: beyond the reversible scenario
Christophe Andrieu
Samuel Livingstone
56
28
0
14 Jun 2019
Hypocoercivity of Piecewise Deterministic Markov Process-Monte Carlo
Hypocoercivity of Piecewise Deterministic Markov Process-Monte Carlo
Christophe Andrieu
Alain Durmus
Nikolas Nusken
Julien Roussel
28
50
0
26 Aug 2018
Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy
  Particle Sampler and Dimension-Free Convergence Rates
Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates
George Deligiannidis
Daniel Paulin
Alexandre Bouchard-Côté
Arnaud Doucet
61
51
0
13 Aug 2018
A Piecewise Deterministic Markov Process via $(r,θ)$ swaps in
  hyperspherical coordinates
A Piecewise Deterministic Markov Process via (r,θ)(r,θ)(r,θ) swaps in hyperspherical coordinates
Alexander Terenin
D. Thorngren
23
3
0
02 Jul 2018
Bouncy Hybrid Sampler as a Unifying Device
Bouncy Hybrid Sampler as a Unifying Device
J. Marković
A. Sepehri
21
2
0
12 Feb 2018
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo
Paul Fearnhead
J. Bierkens
M. Pollock
Gareth O. Roberts
34
106
0
23 Nov 2016
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
The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov
  Chain Monte Carlo Method
The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method
Alexandre Bouchard-Côté
Sebastian J. Vollmer
Arnaud Doucet
67
236
0
08 Oct 2015
Elliptical slice sampling
Elliptical slice sampling
Iain Murray
Ryan P. Adams
D. MacKay
116
465
0
31 Dec 2009
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