Bayesian prediction with multiple-samples information

DOI10.1016/j.jmva.2017.01.010zbMath1369.62116OpenAlexW2586579758MaRDI QIDQ2400811

Federico Camerlenghi, Antonio Lijoi, Igor Prünster

Publication date: 30 August 2017

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2017.01.010

zbMATH Keywords

predictionBayesian nonparametricsPitman-Yor processpartial exchangeabilityspecies sampling modelshierarchical processes

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05) Bayesian inference (62F15) Random measures (60G57) Exchangeability for stochastic processes (60G09)

Related Items (8)

Integrability conditions for compound random measures ⋮ The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions ⋮ Hierarchical species sampling models ⋮ Distribution theory for hierarchical processes ⋮ Hierarchical Normalized Completely Random Measures to Cluster Grouped Data ⋮ Survival analysis via hierarchically dependent mixture hazards ⋮ Hierarchical normalized completely random measures for robust graphical modeling ⋮ Nonparametric estimation of probabilistic sensitivity measures

Cites Work

• Unnamed Item
• Dynamic density estimation with diffusive Dirichlet mixtures
• Borrowing strengh in hierarchical Bayes: posterior concentration of the Dirichlet base measure
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• A time dependent Bayesian nonparametric model for air quality analysis
• Nonparametric Bayesian data analysis
• Bayesian nonparametric data analysis
• Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
• THE NUMBER OF NEW SPECIES, AND THE INCREASE IN POPULATION COVERAGE, WHEN A SAMPLE IS INCREASED
• Hierarchical Dirichlet Processes
• Bayesian Nonparametrics
• Bayesian Nonparametric Estimation of the Probability of Discovering New Species
• Optimal prediction of the number of unseen species
• Predicting the Conditional Probability of Discovering a New Class
• A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes
• Compound Random Measures and their Use in Bayesian Non-Parametrics
• THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS

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