Bayesian nonparametric binary regression via random tessellations

DOI10.1016/j.spl.2009.07.026zbMath1176.62038OpenAlexW2051708858MaRDI QIDQ1036741

Pietro Muliere, Lorenzo Trippa

Publication date: 13 November 2009

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2009.07.026

zbMATH Keywords

simulations

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15)

Related Items (2)

A fully nonparametric modeling approach to binary regression ⋮ Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression

Cites Work

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• Nonparametric binary regression using a Gaussian process prior
• On a class of Bayesian nonparametric estimates: I. Density estimates
• On the projections of isotropic distributions
• Ferguson distributions via Polya urn schemes
• A bivariate Dirichlet process.
• The limit shape of the zero cell in a stationary Poisson hyperplane tessellation.
• Partially exchangeable processes indexed by the vertices of a \(k\)-tree constructed via reinforce\-ment
• A Bayesian analysis of some nonparametric problems
• Bayesian Inference for Semiparametric Binary Regression
• Kernel stick-breaking processes
• A Bayesian Approach to Robust Binary Nonparametric Regression
• Spatial Variation in Risk of Disease: A Nonparametric Binary Regression Approach
• Random tessellations in ℝ^d
• Bayesian Density Estimation and Inference Using Mixtures
• An ANOVA Model for Dependent Random Measures
• The dead leaves model: a general tessellation modeling occlusion
• The Random Division of Space
• RANDOM POLYGONS DETERMINED BY RANDOM LINES IN A PLANE
• Order-Based Dependent Dirichlet Processes

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