Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport

DOI10.1080/01621459.2021.2003201arXiv1907.10448OpenAlexW3214276439MaRDI QIDQ6077558

Leo L. Duan

Publication date: 18 October 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1907.10448

zbMATH Keywords

infinite mixtureMonge and Kantorovich transportsnoninvertible transportsimple function approximation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Distilling Importance Sampling for Likelihood Free Inference

Cites Work

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• 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
• Bayesian inference with optimal maps
• On the influence of the extremes of an i.i.d. sequence on the maximal spacings
• Exponential convergence of Langevin distributions and their discrete approximations
• Piecewise deterministic Markov processes for continuous-time Monte Carlo
• On the Translocation of Masses
• Convolutional wasserstein distances
• Measures, Integrals and Martingales
• Transport Map Accelerated Markov Chain Monte Carlo
• Adaptive approximate Bayesian computation
• Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
• Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains
• Gibbs Flow for Approximate Transport with Applications to Bayesian Computation
• Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods
• MCMC for Imbalanced Categorical Data
• Dirichlet–Laplace Priors for Optimal Shrinkage
• A General Framework for Updating Belief Distributions
• Bayesian Density Regression

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