Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Practical Bayesian Density Estimation Using Mixtures of Normals - MaRDI portal

Practical Bayesian Density Estimation Using Mixtures of Normals

From MaRDI portal
Publication:4366180

DOI10.2307/2965553zbMath0889.62021OpenAlexW4248663717MaRDI QIDQ4366180

Kathryn Roeder, Larry Alan Wasserman

Publication date: 18 November 1997

Full work available at URL: https://doi.org/10.2307/2965553



Related Items

A dual subspace parsimonious mixture of matrix normal distributions, Component selection for exponential power mixture models, Stratified importance sampling for a Bernoulli mixture model of portfolio credit risk, A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling, Hidden Markov model in multiple testing on dependent count data, Consistency of mixture models with a prior on the number of components, Clusterwise multivariate regression of mixed-type panel data, A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers, An effective method for selecting the number of components in density mixtures, Robust generalized linear mixed models for small area estimation, EM for mixtures, Modeling with normalized random measure mixture models, MCMC for normalized random measure mixture models, A Bayesian Mixture Model for Partitioning Gene Expression Data, Bayesian model averaging of possibly similar nonparametric densities, A Bayesian model selection method with applications, Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density, Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data, Densities, spectral densities and modality., Breakdown points for maximum likelihood estimators of location-scale mixtures, Smooth estimates of normal mixtures, Learning switching dynamic models for objects tracking, Subgroup-effects models for the analysis of personal treatment effects, Regression density estimation using smooth adaptive Gaussian mixtures, Bayesian Analysis of Poisson Mixtures, Approximate Bayesian computation for finite mixture models, Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering, A NONPARAMETRIC BAYESIAN APPROACH TO DETECT THE NUMBER OF REGIMES IN MARKOV SWITCHING MODELS, On symmetry of finite mixtures of normal distributions, Mixture models applied to heterogeneous populations, A nonlinear measurement error model and its application to describing the dependency of health outcomes on dietary intake, Identifying connected components in Gaussian finite mixture models for clustering, Penalized proportion estimation for non parametric mixture of regressions, Exact mean integrated squared error and bandwidth selection for kernel distribution function estimators, Multi-modal tempered stable distributions and prosses with applications to finance, Jeffreys priors for mixture estimation: properties and alternatives, Unsupervised learning of mixture regression models for longitudinal data, Explaining Trends in Body Mass Index Using Demographic Counterfactuals, Bootstrap estimation and model selection for multivariate normal mixtures using parallel computing with graphics processing units, Enhancing the selection of a model-based clustering with external categorical variables, Mixtures of modified \(t\)-factor analyzers for model-based clustering, classification, and discriminant analysis, Selecting hidden Markov model state number with cross-validated likelihood, Cluster analysis, model selection, and prior distributions on models, Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling, Heteroscedastic normal-exponential mixture models: Bayesian and classical approaches, Procedure to identify outliers through cumulative distribution of extremes in a Gamma response model, Convergence of posterior distribution in the mixture of regressions, Anchored Bayesian Gaussian mixture models, Fitting a mixture distribution to a variable subject to heteroscedastic measurement errors, Testing for Homogeneity in Mixture Using Weighted Relative Entropy, Bayesian modeling of bacterial growth for multiple populations, Bayesian analysis of finite mixture models of distributions from exponential families, A new Bayesian approach for determining the number of components in a finite mixture, An evolutionary algorithm with crossover and mutation for model-based clustering, PICS: Probabilistic Inference for ChIP-seq, Describing disability through individual-level mixture models for multivariate binary data, Goodness-of-fit testing and quadratic functional estimation from indirect observations, A mixture model for rare and clustered populations under adaptive cluster sampling, Drug risk assessment with determining the number of sub-populations under finite mixture normal models, Data driven estimates for mixtures, Segmenting magnetic resonance images via hierarchical mixture modelling, Bayesian modeling of joint and conditional distributions, Reversible jump MCMC in mixtures of normal distributions with the same component means, Simultaneous Gaussian model-based clustering for samples of multiple origins, Hierarchical mixture models for assessing fingerprint individuality, Gamma shape mixtures for heavy-tailed distributions, Mixture models, latent variables and partitioned importance sampling, Hypothesis tests on mixture model components with applications in ecology and agriculture, On the posterior distribution of the number of components in a finite mixture, A Bayesian Hierarchical Approach for Combining Case‐Control and Prospective Studies, A Mixture Model for Longitudinal Data with Application to Assessment of Noncompliance, Approximation of conditional densities by smooth mixtures of regressions, Empirical Bayes nonparametric kernel density estimation, Mixture-based estimation of entropy, Finite mixture models and model-based clustering, A Bayesian Approach to Finite Mixture Models in Bioassay via Data Augmentation and Gibbs Sampling and Its Application to Insecticide Resistance, Density estimation by the penalized combinatorial method, A semiparametric Bayesian approach for structural equation models, A Bayesian analysis of finite mixtures in the LISREL model, On a loss-based prior for the number of components in mixture models, Bayesian estimation of stochastic volatility models based on OU processes with marginal gamma law, Semiparametric predictive mean matching, Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms, Bayesian Meta-analysis for Longitudinal Data Models Using Multivariate Mixture Priors, Bayesian goodness-of-fit testing using infinite-dimensional exponential families, Posterior consistency of Dirichlet mixtures in density estimation, A semiparametric Bayesian approach to extreme value estimation, Nonparametric additive location-scale models for interval censored data, An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models, A residual-driven adaptive Gaussian mixture approximation for Bayesian inverse problems, Reversible jump and the label switching problem in hidden Markov models, Interpretation and inference in mixture models: simple MCMC works, Robust estimation of mixture complexity for count data, Bayesian nearest-neighbor analysis via record value statistics and nonhomogeneous spatial Poisson processes, Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions, On classical and Bayesian asymptotics in stochastic differential equations with random effects having mixture normal distributions, Bivariate density estimation using BV regularisation, A fast distance-based approach for determining the number of components in mixtures, Model-based clustering for longitudinal data, Reparameterisation issues in mixture modelling and their bearing on MCMC algorithms., Geometric sensitivity measures for Bayesian nonparametric density estimation models, Optimal prediction with conditionally heteroskedastic factor analysed hidden Markov models, On Bayesian analysis of parsimonious Gaussian mixture models, An empirical analysis of earnings dynamics among men in the PSID: 1968--1989, Estimation of the complexity of a finite mixture distribution: from well- to less known methods, A Bayesian sparse finite mixture model for clustering data from a heterogeneous population, How many data clusters are in the galaxy data set? Bayesian cluster analysis in action, Rates of convergence for the Gaussian mixture sieve., Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities., Consistent estimation of mixture complexity., Alternating kernel and mixture density estimates., Recursive pathways to marginal likelihood estimation with prior-sensitivity analysis, A default Bayesian test for the number of components in a mixture, Selection of a representative sample