Bayesian Predictive Inference and Related Asymptotics-Festschrift for Eugenio Regazzini's 75th Birthday / / Emanuele Dolera, Federico Bassetti.

Bayesian predictive inference is at the core of the mathematical theory of inductive reasoning. Nowadays, this field has become very attractive especially for its connections with algorithmic probability, machine learning and artificial intelligence. The complexity of both problems and algorithm rep...

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Place / Publishing House:Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2022.
Year of Publication:2022
Language:English
Physical Description:1 online resource (198 pages)
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Table of Contents:
  • Preface to the Special Issue on "Bayesian Predictive Inference and Related
  • Asymptotics-Festschrift for Eugenio Regazzini's 75th Birthday"
  • A Compound Poisson Perspective of Ewens-Pitman Sampling Model
  • Predictive Constructions Based on Measure-Valued Polya Urn Processes ´
  • On Johnson's "Sufficientness" Postulates for Feature-Sampling Models
  • The Rescaled Polya Urn and the Wright-Fisher Process with Mutation ´
  • Mixture of Species Sampling Models
  • A Central Limit Theorem for Predictive Distributions
  • Trapping the Ultimate Success
  • Partial Exchangeability for Contingency Tables
  • Single-Block Recursive Poisson-Dirichlet Fragmentations of Normalized Generalized Gamma Processes
  • Asymptotic Efficiency of Point Estimators in Bayesian Predictive Inference
  • Fisher, Bayes,and Predictive Inference †.