Concave-Convex PDMP-based Sampling
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Publication:6181414
DOI10.1080/10618600.2023.2203735arXiv2112.12897OpenAlexW4372236465MaRDI QIDQ6181414
Paul Fearnhead, Matthew William Sutton
Publication date: 22 January 2024
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2112.12897
algorithmsMarkov chain Monte Carlo (MCMC)Bayesian methodspiecewise deterministic Markov process (PDMP)
Cites Work
- Unnamed Item
- Simulation of nonhomogeneous poisson processes by thinning
- The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
- The Bouncy Particle Sampler: A Non-Reversible Rejection-Free Markov Chain Monte Carlo Method
- On functions representable as a difference of convex functions
- Piecewise deterministic Markov processes for continuous-time Monte Carlo
- Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
- DC programming and DCA: thirty years of developments
- Analysis of a nonreversible Markov chain sampler.
- A piecewise deterministic scaling limit of lifted Metropolis-Hastings in the Curie-Weiss model
- A piecewise deterministic Monte Carlo method for diffusion bridges
- Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models
- Automatic zig-zag sampling in practice
- Coordinate sampler: a non-reversible Gibbs-like MCMC sampler
- Optimal tuning of the hybrid Monte Carlo algorithm
- Adaptive Rejection Sampling for Gibbs Sampling
- Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains
- Efficient posterior sampling for high-dimensional imbalanced logistic regression
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