Funder
Ministry of Education - Singapore
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science
Reference66 articles.
1. Alquier, P., Friel, N., Everitt, R., Boland, A.: Noisy monte carlo: Convergence of markov chains with approximate transition kernels. Stat. Comput. 26(1–2), 29–47 (2016)
2. Andrieu, C., Roberts, G.O.: The pseudo-marginal approach for efficient monte carlo computations. Ann. Stat. 37(2), 697–725 (2009)
3. Andrieu, C., Vihola, M.: Establishing some order amongst exact approximations of mcmcs. arXiv preprint arXiv:1404.6909 (2014)
4. Andrieu, C., Doucet, A., Holenstein, R.: Particle markov chain monte carlo methods. J. R. Stat. Soc. Ser. B (Stat. Methodol.) 72(3), 269–342 (2010)
5. Andrieu, C., Vihola, M., et al.: Convergence properties of pseudo-marginal markov chain monte carlo algorithms. Ann. Appl. Probab. 25(2), 1030–1077 (2015)
Cited by
16 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