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Andi Qi Wang
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Regeneration-enriched Markov processes with application to Monte Carlo
AQ Wang, M Pollock, GO Roberts, D Steinsaltz
The Annals of Applied Probability 31 (2), 703-735, 2021
202021
An approximation scheme for quasi-stationary distributions of killed diffusions
AQ Wang, GO Roberts, D Steinsaltz
Stochastic Processes and their Applications 130 (5), 3193-3219, 2020
172020
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC
C Andrieu, A Lee, S Power, AQ Wang
The Annals of Statistics 50 (6), 3592-3618, 2022
152022
Theoretical properties of quasi-stationary Monte Carlo methods
AQ Wang, M Kolb, GO Roberts, D Steinsaltz
The Annals of Applied Probability 29 (1), 434-457, 2019
152019
Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods
C Andrieu, P Dobson, AQ Wang
Electronic Journal of Probability 26, 1-26, 2021
142021
PDMP Monte Carlo methods for piecewise-smooth densities
A Chevallier, S Power, AQ Wang, P Fearnhead
Advances in Applied Probability, 1-42, 2024
122024
Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles
C Andrieu, A Lee, S Power, AQ Wang
To appear in the Annals of Applied Probability, 2022
102022
Poincaré inequalities for Markov chains: a meeting with Cheeger, Lyapunov and Metropolis
C Andrieu, A Lee, S Power, AQ Wang
arXiv preprint: 2208.05239, 2022
72022
Theory of killing and regeneration in continuous-time Monte Carlo sampling
AQ Wang
University of Oxford, 2020
32020
Perturbation theory for killed Markov processes and quasi-stationary distributions
D Rudolf, AQ Wang
arXiv preprint: 2109.13819, 2021
22021
A note on the jump locations of Markov processes
AQ Wang, D Steinsaltz
arXiv preprint: 1901.07321, 2019
22019
Weak Poincaré Inequalities for Markov chains: theory and applications
C Andrieu, A Lee, S Power, AQ Wang
arXiv preprint https://arxiv.org/abs/2312.11689, 2023
12023
Weak Poincaré inequality comparisons for ideal and hybrid slice sampling
S Power, D Rudolf, B Sprungk, AQ Wang
arXiv preprint, 2024
2024
Andi Wang's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’
AQ Wang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
2023
Sampling using Adaptive Regenerative Processes
H McKimm, AQ Wang, M Pollock, CP Robert, GO Roberts
To appear in Bernoulli, 2022
2022
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Artikelen 1–15