Affiliation:
1. Department of Statistical Science, Duke University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference42 articles.
1. Dalalyan, A. S. (2017). Theoretical guarantees for approximate sampling from smooth and log-concave densities. J. R. Stat. Soc. Ser. B. Stat. Methodol. 79 651–676.
2. Roberts, G. O. and Rosenthal, J. S. (2004). General state space Markov chains and MCMC algorithms. Probab. Surv. 1 20–71.
3. Zhou, Y., Johansen, A. M. and Aston, J. A. D. (2016). Toward automatic model comparison: An adaptive sequential Monte Carlo approach. J. Comput. Graph. Statist. 25 701–726.
4. Vempala, S. (2005). Geometric random walks: A survey. In Combinatorial and Computational Geometry. Math. Sci. Res. Inst. Publ. 52 577–616. Cambridge Univ. Press, Cambridge.
5. Dwivedi, R., Chen, Y., Wainwright, M. J. and Yu, B. (2019). Log-concave sampling: Metropolis–Hastings algorithms are fast. J. Mach. Learn. Res. 20 Paper No. 183, 42.
Cited by
1 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