A Probabilistic View on Predictive Constructions for Bayesian Learning-Reference-Cited by-同舟云学术

A Probabilistic View on Predictive Constructions for Bayesian Learning

Published:2023-01-01 Issue:-1 Volume:-1 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Berti Patrizia¹,Dreassi Emanuela²,Leisen Fabrizio³,Pratelli Luca⁴,Rigo Pietro⁵

Affiliation:

1. Patrizia Berti is Professor of Probability, Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio-Emilia, via Campi 213/B, 41100 Modena, Italy

2. Emanuela Dreassi is Professor of Statistics, Dipartimento di Statistica, Informatica, Applicazioni, Università di Firenze, viale Morgagni 59, 50134 Firenze, Italy

3. Fabrizio Leisen is Professor of Statistics, School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK

4. Luca Pratelli is Professor of Probability, Accademia Navale, viale Italia 72, 57100 Livorno, Italy

5. Pietro Rigo is Professor of Probability, Dipartimento di Scienze Statistiche “P. Fortunati,” Università di Bologna, via delle Belle Arti 41, 40126 Bologna, Italy

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference59 articles.

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4. EFRON, B. (2020). Prediction, estimation, and attribution. J. Amer. Statist. Assoc. 115 636–655.

5. Pitman, J. (1995). Exchangeable and partially exchangeable random partitions. Probab. Theory Related Fields 102 145–158.