Adaptive Markov chain Monte Carlo: theory and methods-Reference-Cited by-同舟云学术

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Adaptive Markov chain Monte Carlo: theory and methods

Published: Issue: Volume: Page:32-51
ISSN:
Container-title:Bayesian Time Series Models
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Author:

Atchadé Yves,Fort Gersende,Moulines Eric,Priouret Pierre

Publisher

Cambridge University Press

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Active Learning and Bayesian Optimization: A Unified Perspective to Learn with a Goal;Archives of Computational Methods in Engineering;2024-04-23

2. Times Square Sampling: An Adaptive Algorithm for Free Energy Estimation;Journal of Computational and Graphical Statistics;2023-12-12

3. Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis;Journal of the American Statistical Association;2023-11-16

4. Sampling by divergence minimization;Communications in Statistics - Simulation and Computation;2023-04-21

5. Collective proposal distributions for nonlinear MCMC samplers: Mean-field theory and fast implementation;Electronic Journal of Statistics;2022-01-01

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