Size-biased sampling and discrete nonparametric Bayesian inference

DOI10.1016/j.jspi.2003.10.005zbMath1075.62040OpenAlexW2056219143MaRDI QIDQ1765761

Andrea Ongaro

Publication date: 23 February 2005

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.10.005

zbMATH Keywords

Dirichlet processDiscrete random probability measureRandom relabelling scheme

Mathematics Subject Classification ID

Bayesian inference (62F15) Stochastic processes (60G99) Random measures (60G57) Nonparametric inference (62G99)

Related Items (3)

Exact inference for random Dirichlet means ⋮ On the Superiority of a Variable Sampling Interval Control Chart ⋮ On the topological support of species sampling priors

Cites Work

• Modelling Heterogeneity With and Without the Dirichlet Process
• Recursive splitting of an interval when the proportions are identical and independent random variables
• Continuity and weak convergence of ranked and size-biased permutations on the infinite simplex
• A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability
• Prior distributions on spaces of probability measures
• A Bayesian analysis of some nonparametric problems
• Discrete random probability measures: a general framework for nonparametric Bayesian in\-fer\-ence
• The heaps process, libraries, and size-biased permutations
• Gibbs Sampling Methods for Stick-Breaking Priors
• Random discrete distributions invariant under size-biased permutation
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