De Finetti’s theorem and related results for infinite weighted exchangeable sequences-Reference-Cited by-同舟云学术

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De Finetti’s theorem and related results for infinite weighted exchangeable sequences

Published:2024-11-01 Issue:4 Volume:30 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Barber Rina Foygel¹,Candès Emmanuel J.²,Ramdas Aaditya³,Tibshirani Ryan J.⁴

Affiliation:

1. Department of Statistics, University of Chicago, Chicago, IL, USA

2. Departments of Statistics and Mathematics, Stanford University, Stanford, CA, USA

3. Departments of Statistics and Machine Learning, Carnegie Mellon University, Pittsburgh, PA, USA

4. Department of Statistics, University of California, Berkeley, CA, USA

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Reference31 articles.

1. Faden, A.M. (1985). The existence of regular conditional probabilities: Necessary and sufficient conditions. Ann. Probab. 13 288–298.

2. Vovk, V., Gammerman, A. and Shafer, G. (2005). Algorithmic Learning in a Random World. New York: Springer.

3. Hewitt, E. and Savage, L.J. (1955). Symmetric measures on Cartesian products. Trans. Amer. Math. Soc. 80 470–501. 10.2307/1992999

4. Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R.J. and Wasserman, L. (2018). Distribution-free predictive inference for regression. J. Amer. Statist. Assoc. 113 1094–1111. 10.1080/01621459.2017.1307116

5. Bogachev, V.I. (2007). Measure Theory. Vol. I, II. Berlin: Springer. 10.1007/978-3-540-34514-5

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