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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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Médium: Online
Jazyk:angličtina
Vydáno: MDPI - Multidisciplinary Digital Publishing Institute 2022
Témata:
Berry–Esseen type theorem
Ewens–Pitman sampling model
exchangeable random partitions
log-series compound poisson sampling model
Mittag–Leffler distribution function
negative binomial compound poisson sampling model
Pitman’s α-diversity
wright distribution function
predictive distributions
random probability measures
reinforced processes
Pólya sequences
urn schemes
Bayesian inference
conditional identity in distribution
total variation distance
Bayesian nonparametrics
exchangeability
feature-sampling model
de Finetti theorem
Johnson’s “sufficientness” postulate
predictive distribution
scaled process prior
species-sampling model
Pólya urn
predictive mean
urn model
Wright—Fisher diffusion
species sampling models
exchangeable sequences
bayesian predictive inference
central limit theorem
stable convergence
best choice problem
optimal stopping time
last record
trapping strategy
algebraic statistics
contingency tables
de Finetti representation theorem
Markov basis
partial exchangeability
fragmentations of mass partitions
generalized gamma process
Mittag-Leffler Markov Chains
Poisson—Dirichlet distributions
species sampling
asymptotic efficiency
compatibility equations
decision theory
de Finetti’s representation theorem
Wasserstein distance
Fisher fiducial argument
inverse probability
uniform distribution
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
On-line přístup:ONIX_20221117_9783036551142_56
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