Articles with public access mandates - Andi Qi WangLearn more
Available somewhere: 8
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
Mandates: UK Biotechnology and Biological Sciences Research Council, UK Engineering …
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles
C Andrieu, A Lee, S Power, AQ Wang
The Annals of Applied Probability 34 (4), 4022-4071, 2024
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods
C Andrieu, P Dobson, AQ Wang
Electronic Journal of Probability 26, 1-26, 2021
Mandates: Netherlands Organisation for Scientific Research, UK Engineering and …
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
Mandates: UK Engineering and Physical Sciences Research Council
PDMP Monte Carlo methods for piecewise-smooth densities
A Chevallier, S Power, AQ Wang, P Fearnhead
Advances in Applied Probability, 1-42, 2024
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: US Department of Defense, National Natural Science Foundation of China …
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