Kernel stick-breaking processes
From MaRDI portal
Publication:3631499
DOI10.1093/biomet/asn012zbMath1437.62448OpenAlexW2138689104WikidataQ36882402 ScholiaQ36882402MaRDI QIDQ3631499
Publication date: 10 June 2009
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc2538628
kernel methodsmixture modelnonparametric Bayesdependent Dirichlet processrandom partitionconditional density estimationprediction rule
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items
Dynamic density estimation with diffusive Dirichlet mixtures, Analysis of space-time relational data with application to legislative voting, A fully nonparametric modeling approach to binary regression, Tractable Bayesian density regression via logit stick-breaking priors, A Bayesian goodness-of-fit test for regression, Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks, An area-specific stick breaking process for spatial data, Bayesian Nonparametric Nonproportional Hazards Survival Modeling, A Dirichlet process functional approach to heteroscedastic-consistent covariance estimation, Mixture Models With a Prior on the Number of Components, Hybrid Dirichlet Mixture Models for Functional Data, POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES, A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting, Stochastic Geometry to Generalize the Mondrian Process, Bayesian temporal density estimation with autoregressive species sampling models, Random density functions with common atoms and pairwise dependence, A time dependent Bayesian nonparametric model for air quality analysis, Dependent mixtures of geometric weights priors, A Bayesian data combination approach for repeated durations under unobserved missing indicators: application to interpurchase-timing in marketing, Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process, Posterior consistency in conditional distribution estimation, On the stick-breaking representation of \(\sigma\)-stable Poisson-Kingman models, Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles, Colombian women's life patterns: a multivariate density regression approach, ADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DENSITIES, A Bayesian nonparametric approach to modeling market share dynamics, Dependent mixtures of Dirichlet processes, A similarity-based Bayesian mixture-of-experts model, Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes, Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective, The local Dirichlet process, Nonparametric spatial models for extremes: application to extreme temperature data, Bayesian nonparametric regression with varying residual density, Adaptive-modal Bayesian nonparametric regression, A vector of Dirichlet processes, Nonparametric survival regression using the beta-Stacy process, An elementary derivation of the Chinese restaurant process from Sethuraman's stick-breaking process, Prediction and Inference With Missing Data in Patient Alert Systems, Theory and computations for the Dirichlet process and related models: an overview, Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference, Spatial product partition models, Robust identification of highly persistent interest rate regimes, Nonparametric Bayesian Multiple Imputation for Missing Data Due to Mid-Study Switching of Measurement Methods, Bayesian modeling of joint and conditional distributions, Bayesian nonparametric centered random effects models with variable selection, Calibrating covariate informed product partition models, Bayesian semiparametric inference for multivariate doubly-interval-censored data, Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling, Hierarchical Dirichlet scaling process, Nonparametric Bayesian models for a spatial covariance, Unnamed Item, Random partition models with regression on covariates, Toward automated prior choice, Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California, Bayesian regression with heteroscedastic error density and parametric mean function, Bayesian Nonparametric Biostatistics, Nonparametric Variable Selection, Clustering and Prediction for Large Biological Datasets, Spatial Bayesian Nonparametric Methods, Adaptive Bayesian density regression for high-dimensional data, Cluster and feature modeling from combinatorial stochastic processes, Bayesian ratemaking with common effects modeled by mixture of Pólya tree processes, A review of uncertainty quantification for density estimation, A nonparametric dependent process for Bayesian regression, Bayesian local influence for survival models, Nonparametric estimation of probabilistic sensitivity measures, Centered partition processes: informative priors for clustering (with discussion), A Bayesian Nonparametric Regression Model With Normalized Weights: A Study of Hippocampal Atrophy in Alzheimer’s Disease, Sufficient Dimension Reduction via Bayesian Mixture Modeling, Multivariate Bayesian semiparametric models for authentication of food and beverages, Effect on prediction when modeling covariates in Bayesian nonparametric models, Bayesian nonparametric binary regression via random tessellations, The dependent Dirichlet process and related models, Bayesian mixture modeling for multivariate conditional distributions, Dirichlet process and its developments: a survey, A Bayesian nonparametric model and its application in insurance loss prediction, Bayesian regression with nonparametric heteroskedasticity, Generalized spatial stick-breaking processes