On the asymptotic efficiency of approximate Bayesian computation estimators W Li, P Fearnhead Biometrika 105 (2), 285-299, 2018 | 65 | 2018 |
Convergence of regression-adjusted approximate Bayesian computation W Li, P Fearnhead Biometrika 105 (2), 301-318, 2018 | 52* | 2018 |
Efficient Sequential Monte Carlo with Multiple Proposals and Control Variates W Li, R Chen, Z Tan Journal of the American Statistical Association, 2015 | 16 | 2015 |
Two-stage importance sampling with mixture proposals W Li, Z Tan, R Chen Journal of the American Statistical Association 108 (504), 1350-1365, 2013 | 12 | 2013 |
Approximate confidence distribution computing S Thornton, W Li, M Xie arXiv preprint arXiv:2206.01707, 2022 | 8* | 2022 |
Behaviour of ABC for Big Data W Li, P Fearnhead arXiv preprint arXiv:1506.03481, 2015 | 5 | 2015 |
Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models W Li, R White arXiv preprint arXiv:2404.02313, 2024 | | 2024 |
Supplementary Material for “Convergence of Regression Adjusted Approximate Bayesian Computation” W LI, P FEARNHEAD | | |