Zig-Zag Sampling for Discrete Structures and Nonreversible Phylogenetic MCMC

DOI10.1080/10618600.2022.2032722OpenAlexW3016767903MaRDI QIDQ5057080

Jere Koskela

Publication date: 15 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.08807

zbMATH Keywords

coalescentBayesian inferencepiecewise deterministic Markov processzig-zag processhybrid state space

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Phylogenetic network dissimilarity measures that take branch lengths into account ⋮ Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference ⋮ Automatic zig-zag sampling in practice

Cites Work

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• The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
• The space of ultrametric phylogenetic trees
• The coalescent
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• Simulating probability distributions in the coalescent
• Geometry of the space of phylogenetic trees
• Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
• A piecewise deterministic scaling limit of lifted Metropolis-Hastings in the Curie-Weiss model
• Ergodicity of the zigzag process
• Practical Markov Chain Monte Carlo
• Sampling-Based Approaches to Calculating Marginal Densities
• Nonreversible Jump Algorithms for Bayesian Nested Model Selection
• Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods
• Monte Carlo sampling methods using Markov chains and their applications

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