Articles with public access mandates - Andi Qi WangLearn more
Available somewhere: 9
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
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 …
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
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
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 56 (4), 1153-1194, 2024
Mandates: UK Engineering and Physical Sciences Research Council
Sampling using Adaptive Regenerative Processes
H McKimm, AQ Wang, M Pollock, CP Robert, GO Roberts
Bernoulli 31 (1), 509-536, 2025
Mandates: UK Engineering and Physical Sciences Research Council, European Commission …
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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