Adaptive Bayesian multivariate density estimation with Dirichlet mixtures

From MaRDI portal
Publication:5411061

DOI10.1093/biomet/ast015zbMath1284.62183arXiv1109.6406OpenAlexW2125474556WikidataQ57425933 ScholiaQ57425933MaRDI QIDQ5411061

Weining Shen, Surya T. Tokdar, Subhashis Ghosal

Publication date: 22 April 2014

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1109.6406




Related Items (44)

Novel and simple non-parametric methods of estimating the joint and marginal densitiesEmpirical Bayes Conditional Density EstimationBayesian high-dimensional semi-parametric inference beyond sub-Gaussian errorsSome aspects of symmetric Gamma process mixturesOn some aspects of the asymptotic properties of Bayesian approaches in nonparametric and semiparametric modelsAdaptive Bayesian Procedures Using Random Series PriorsAdaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activityNonparametric Bayesian inference for multidimensional compound Poisson processesUnnamed ItemOn a class of repulsive mixture modelsPosterior consistency in conditional distribution estimationSemiparametric Bayesian multiple imputation for regression models with missing mixed continuous-discrete covariatesOn adaptive posterior concentration ratesOptimal estimation of high-dimensional Gaussian location mixturesOn posterior consistency of tail index for Bayesian kernel mixture modelsPosterior contraction rates of density derivative estimationConcentration rate and consistency of the posterior distribution for selected priors under monotonicity constraintsA Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment dataADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DENSITIESAdaptive Bayesian density estimation in \(L^p\)-metrics with Pitman-Yor or normalized inverse-Gaussian process kernel mixturesBayesian adaptationConsistency of mixture models with a prior on the number of componentsGibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation SamplerSemiparametric Bayesian estimation of dynamic discrete choice modelsSemiparametric Gaussian variance-mean mixtures for heavy-tailed and skewed dataBayesian sieve methods: approximation rates and adaptive posterior contraction ratesCopula based factorization in Bayesian multivariate infinite mixture modelsAnisotropic function estimation using multi-bandwidth Gaussian processesBayesian fractional posteriorsPosterior asymptotics in Wasserstein metrics on the real lineBayesian Repulsive Gaussian Mixture ModelKernel mixture model for probability density estimation in Bayesian classifiersOn posterior contraction of parameters and interpretability in Bayesian mixture modelingTheory and computations for the Dirichlet process and related models: an overviewDirichlet process mixtures under affine transformations of the dataAdaptive Bayesian density regression for high-dimensional dataRate exact Bayesian adaptation with modified block priorsBayesian test of normality versus a Dirichlet process mixture alternativeAdaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear modelsNonparametric analysis of non-Euclidean data on shapes and imagesNonasymptotic control of the MLE for misspecified nonparametric hidden Markov modelsComment: ``Bayes, oracle Bayes and empirical BayesRates of contraction with respect to \(L_2\)-distance for Bayesian nonparametric regressionPosterior contraction rates for deconvolution of Dirichlet-Laplace mixtures




This page was built for publication: Adaptive Bayesian multivariate density estimation with Dirichlet mixtures