Reversible Jump PDMP Samplers for Variable Selection
Author:
Affiliation:
1. Mathematics and Statistics, Fylde College, Lancaster University, Lancaster, UK
2. Centre for Data Science, Queensland University of Technology, Brisbane, Australia
Funder
EPSRC
Engineering and Physical Sciences Research Council
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2099402
Reference45 articles.
1. Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
2. The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data
3. Bierkens, J., Grazzi, S., van der Meulen, F., and Schauer, M. (2021), “Sticky PDMP Samplers for Sparse and Local Inference Problems,” arXiv:2103.08478.
4. A piecewise deterministic scaling limit of lifted Metropolis–Hastings in the Curie–Weiss model
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