Predictive Constructions Based on Measure-Valued Pólya Urn Processes

Autor: Sonia Petrone, Sandra Fortini, Hristo Sariev
Rok vydání: 2021
Předmět:
Pólya sequences
General Mathematics
Bayesian inference
MathematicsofComputing_GENERAL
conditional identity in distribution
Reinforced Processes
01 natural sciences
Measure (mathematics)
Conditional Identity In Distribution
010104 statistics & probability
Total variation
Pólya urn model
urn schemes
QA1-939
Computer Science (miscellaneous)
PREDICTIVE DISTRIBUTIONS
RANDOM PROBABILITY MEASURES
REINFORCED PROCESSES
PÓLYA SEQUENCES
URN SCHEMES
BAYESIAN INFERENCE
CONDITIONAL IDENTITY IN DISTRIBUTION
TOTAL VARIATION DISTANCE

0101 mathematics
Engineering (miscellaneous)
Mathematics
Discrete mathematics
total variation distance
Sequence
Markov chain
Stochastic process
010102 general mathematics
predictive distributions
Random Probability Measures
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
Distribution (mathematics)
Urn Schemes
random probability measures
reinforced processes
Total Variation Distance
Pólya Sequences
Bayesian Inference
Polish space
Predictive Distributions
Zdroj: Mathematics
Volume 9
Issue 22
Mathematics, Vol 9, Iss 2845, p 2845 (2021)
ISSN: 2227-7390
DOI: 10.3390/math9222845
Popis: Measure-valued Pólya urn processes (MVPP) are Markov chains with an additive structure that serve as an extension of the generalized k-color Pólya urn model towards a continuum of possible colors. We prove that, for any MVPP (μn)n≥0 on a Polish space X, the normalized sequence (μn/μn(X))n≥0 agrees with the marginal predictive distributions of some random process (Xn)n≥1. Moreover, μn=μn−1+RXn, n≥1, where x↦Rx is a random transition kernel on X
thus, if μn−1 represents the contents of an urn, then Xn denotes the color of the ball drawn with distribution μn−1/μn−1(X) and RXn—the subsequent reinforcement. In the case RXn=WnδXn, for some non-negative random weights W1,W2,…, the process (Xn)n≥1 is better understood as a randomly reinforced extension of Blackwell and MacQueen’s Pólya sequence. We study the asymptotic properties of the predictive distributions and the empirical frequencies of (Xn)n≥1 under different assumptions on the weights. We also investigate a generalization of the above models via a randomization of the law of the reinforcement.
Databáze: OpenAIRE
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