Gibbs posterior convergence and the thermodynamic formalism-Reference-Cited by-同舟云学术

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Gibbs posterior convergence and the thermodynamic formalism

Published:2022-02-01 Issue:1 Volume:32 Page:
ISSN:1050-5164
Container-title:The Annals of Applied Probability
language:
Short-container-title:Ann. Appl. Probab.

Author:

McGoff Kevin¹,Mukherjee Sayan²,Nobel Andrew B.³

Affiliation:

1. Department of Mathematics and Statistics, University of North Carolina at Charlotte

2. Departments of Statistical Science, Mathematics, Computer Science, and Biostatistics & Bioinformatics, Duke University

3. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference62 articles.

1. Schwartz, L. (1965). On Bayes procedures. Z. Wahrsch. Verw. Gebiete 4 10–26.

2. ALVES, J. F., RAMOS, V. and SIQUEIRA, J. (2019). Equilibrium stability for non-uniformly hyperbolic systems. Ergodic Theory Dynam. Systems 39 2619–2642.

3. BELITSER, E. and NURUSHEV, N. (2019). General framework of projection structures. Preprint. Available at arXiv:1904.01003.

4. BENEDICKS, M. and YOUNG, L.-S. (2000). Markov extensions and decay of correlations for certain Hénon maps. Astérisque 13–56.

5. BISSIRI, P. G., HOLMES, C. C. and WALKER, S. G. (2016). A general framework for updating belief distributions. J. R. Stat. Soc. Ser. B. Stat. Methodol. 78 1103–1130.

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