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Sticky PDMP samplers for sparse and local inference problems

Statistics and computing (Stat Comput), 2021

15 March 2021

Frank van der Meulen

Papers citing "Sticky PDMP samplers for sparse and local inference problems"

10 / 10 papers shown

Piecewise deterministic generative modelsNeural Information Processing Systems (NeurIPS), 2024

247

28 Jul 2024

Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers

Paul Fearnhead

Sebastiano Grazzi

Chris Nemeth

Gareth O. Roberts

282

27 Jun 2024

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression

318

18 Jun 2024

Adaptive MCMC for Bayesian variable selection in generalised linear models and survival modelsEntropy (Entropy), 2023

Xitong Liang

Samuel Livingstone

Jim Griffin

258

01 Aug 2023

Methods and applications of PDMP samplers with boundary conditions

191

14 Mar 2023

Continuously-Tempered PDMP SamplersNeural Information Processing Systems (NeurIPS), 2022

291

19 May 2022

PDMP Monte Carlo methods for piecewise-smooth densitiesAdvances in Applied Probability (AAP), 2021

214

10 Nov 2021

Applied Measure Theory for Probabilistic Modeling

Chad Scherrer

Moritz Schauer

212

01 Oct 2021

Posterior contraction for deep Gaussian process priorsJournal of machine learning research (JMLR), 2021

G. Finocchio

Johannes Schmidt-Hieber

472

16 May 2021

Reversible Jump PDMP Samplers for Variable Selection

Augustin Chevallier

Paul Fearnhead

Matthew Sutton

244

22 Oct 2020