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Bayesian Predictive Inference and Related Asymptotics—Festschrift for Eugenio Regazzini's 75th Birthday

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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Bibliographic Details
Main Author: Dolera, Emanuele
Other Authors: Bassetti, Federico
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Pólya Sequences
Optimal Stopping Time
Ewens-pitman Sampling Model
Poisson-dirichlet Distributions
Mittag-leffler Distribution Function
Johnson's "sufficientness" Postulate
Bayesian Predictive Inference
Trapping Strategy
Mathematics & Science / Bicssc
De Finetti's Representation Theorem
De Finetti Theorem
N/a
Asymptotic Efficiency
Log-series Compound Poisson Sampling Model
Conditional Identity In Distribution
Compatibility Equations
Species Sampling Models
Central Limit Theorem
Wright-fisher Diffusion
Contingency Tables
Inverse Probability
Berry-esseen Type Theorem
Random Probability Measures
Uniform Distribution
Mittag-leffler Markov Chains
Exchangeable Sequences
Predictive Mean
Predictive Distribution
Scaled Process Prior
Reinforced Processes
Species Sampling
Stable Convergence
Fisher Fiducial Argument
Total Variation Distance
Markov Basis
Research & Information: General / Bicssc
Pólya Urn
Negative Binomial Compound Poisson Sampling Model
Partial Exchangeability
De Finetti Representation Theorem
Algebraic Statistics
Urn Model
Bayesian Nonparametrics
Predictive Distributions
Exchangeable Random Partitions
Urn Schemes
Last Record
Fragmentations Of Mass Partitions
Feature-sampling Model
Decision Theory
Wright Distribution Function
Exchangeability
Best Choice Problem
Pitman's α-diversity
Generalized Gamma Process
Species-sampling Model
Wasserstein Distance
Bayesian Inference
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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 represents a constant source of research of asymptotic techniques, which are necessary to handle vast datasets. The present book contains the 11 papers accepted and published in the Special Issue "Bayesian Predictive Inference and Related Asymptotics-Festschrift for Eugenio Regazzini's 75th Birthday" of the MDPI Mathematics journal. The topics of the paper focus, among others, on Bayesian nonparametrics, species sampling models, partial exchangeability and optimal stopping. Finally, as the title suggests, the Special Issue aims to celebrate the 75th birthday of Prof. Eugenio Regazzini, who has provided so many important contributions to the field of Bayesian inference.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (198 p.)
ISBN:9783036551135
books978-3-0365-5114-2
9783036551142

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