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

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
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Mathematics & science
Research & information: general
algebraic statistics
asymptotic efficiency
Bayesian inference
Bayesian nonparametrics
bayesian predictive inference
Berry-Esseen type theorem
best choice problem
central limit theorem
compatibility equations
conditional identity in distribution
contingency tables
de Finetti representation theorem
de Finetti theorem
de Finetti's representation theorem
decision theory
Ewens-Pitman sampling model
exchangeability
exchangeable random partitions
exchangeable sequences
feature-sampling model
Fisher fiducial argument
fragmentations of mass partitions
generalized gamma process
inverse probability
Johnson's "sufficientness" postulate
last record
log-series compound poisson sampling model
Markov basis
Mittag-Leffler distribution function
Mittag-Leffler Markov Chains
n/a
negative binomial compound poisson sampling model
optimal stopping time
partial exchangeability
Pitman's α-diversity
Poisson-Dirichlet distributions
Pólya sequences
Pólya urn
predictive distribution
predictive distributions
predictive mean
random probability measures
reinforced processes
scaled process prior
species sampling
species sampling models
species-sampling model
stable convergence
total variation distance
trapping strategy
uniform distribution
urn model
urn schemes
Wasserstein distance
wright distribution function
Wright-Fisher diffusion
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