Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks

DOI10.1214/15-EJS1032zbMath1397.62148arXiv1506.07412OpenAlexW2963270765WikidataQ55025235 ScholiaQ55025235MaRDI QIDQ309544

Tristan Gray-Davies, François Caron, Christopher C. Holmes

Publication date: 7 September 2016

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1506.07412

zbMATH Keywords

Bayesian nonparametricscomposite likelihoodPólya treeDirichlet process mixturesPlackett-Luce

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25)

Related Items

Bayesian analysis of rank data with covariates and heterogeneous rankers ⋮ Bayesian Approximate Kernel Regression With Variable Selection

Uses Software

• bfa
• BayesTree
• DPpackage
• BartPy

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