Projected Pólya Tree

DOI10.1080/10618600.2021.1923515OpenAlexW3159358940MaRDI QIDQ5066500

Luis E. Nieto-Barajas, Gabriel Nuñez-Antonio

Publication date: 29 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2021.1923515

zbMATH Keywords

Bayesian nonparametricsdirectional datacircular dataprojected normal

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

PPTcirc ⋮ Multivariate and regression models for directional data based on projected Pólya trees

Uses Software

• CRAN
• CircNNTSR
• CircStats
• circular
• NPCirc

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• An elliptically symmetric angular Gaussian distribution
• Some moment properties of skew-symmetric circular distributions
• Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions
• Semiparametric Bayesian circular statistics
• Tools for statistical inference. Observed data and data augmentation methods
• Some aspects of Pólya tree distributions for statistical modelling
• Consistent semiparametric Bayesian inference about a location parameter.
• The general projected normal distribution of arbitrary dimension: modeling and Bayesian inference
• A Bayesian nonparametric approach to testing for dependence between random variables
• Prior distributions on spaces of probability measures
• Markov chains for exploring posterior distributions. (With discussion)
• Directional data analysis under the general projected normal distribution
• Directional log-spline distributions
• Topics in Circular Statistics
• Rubbery Polya Tree
• Inference for Mixtures of Finite Polya Tree Models
• Semiparametric Bayesian Techniques for Problems in Circular Data
• A Bayesian analysis of directional data using the projected normal distribution
• A Predictive Approach to Model Selection
• Nonparametric Bayes methods for directional data
• Bayesian nonparametric multiple imputation of partially observed data with ignorable nonresponse
• Modeling Regression Error With a Mixture of Polya Trees
• Projected Multivariate Linear Models for Directional Data
• Multivariate mixtures of Polya trees for modeling ROC data
• The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters
• Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence
• A class of distribution function processes which have derivatives
• Introducing Monte Carlo Methods with R
• An adaptive Metropolis algorithm

This page was built for publication: Projected Pólya Tree