Bayesian non-parametric inference for \(\Lambda\)-coalescents: posterior consistency and a parametric method

DOI10.3150/16-BEJ923zbMath1419.62063arXiv1512.00982OpenAlexW3122645463MaRDI QIDQ1697048

Dario Spanò, Jere Koskela, Paul A. Jenkins

Publication date: 15 February 2018

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1512.00982

zbMATH Keywords

nonparametric inferenceposterior consistencyLambda-coalescentDirichlet mixture model priorpseudo-marginal MCMC

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Bayesian inference (62F15) Monte Carlo methods (65C05) Random measures (60G57)

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