Nested sampling methods-Reference-Cited by-同舟云学术

Nested sampling methods

Published:2023-01-01 Issue:none Volume:17 Page:
ISSN:1935-7516
Container-title:Statistics Surveys
language:
Short-container-title:Statist. Surv.

Author:

Buchner Johannes¹

Affiliation:

1. Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, 85741 Garching, Germany

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference111 articles.

1. Neal, R. M. (2003). Slice sampling. Ann. Statist. 31 705–767.

2. CARPENTER, B., GELMAN, A., HOFFMAN, M. D., LEE, D., GOODRICH, B., BETANCOURT, M., BRUBAKER, M., GUO, J., LI, P. and RIDDELL, A. (2017). Stan: A probabilistic programming language. Journal of Statistical Software 76 1–32.

3. KIRKPATRICK, S., GELATT, C. D. and VECCHI, M. P. (1983). Optimization by simulated annealing. Science 220 671–680.

4. HOFFMAN, M. D. and GELMAN, A. (2014). The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research 15 1593–1623.

5. ALBERT, J. G. (2020). JAXNS: a high-performance nested sampling package based on JAX. arXiv e-prints arXiv:2012.15286.

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