Pages that link to "Item:Q962324"

The following pages link to Bayesian density estimation and model selection using nonparametric hierarchical mixtures (Q962324):

Displaying 35 items.

• Bayesian nonparametric location-scale-shape mixtures (Q285841) (← links)
• A blocked Gibbs sampler for NGG-mixture models via a priori truncation (Q294236) (← links)
• On a rapid simulation of the Dirichlet process (Q433573) (← links)
• Bayesian mode regression using mixtures of triangular densities (Q515134) (← links)
• Optimal model selection for density estimation of stationary data under various mixing condi\-tions (Q651014) (← links)
• Non-parametric Bayesian inference for continuous density hidden Markov mixture model (Q670194) (← links)
• A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression (Q730819) (← links)
• Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times (Q744811) (← links)
• Univariate Bayesian nonparametric mixture modeling with unimodal kernels (Q892442) (← links)
• A note on nonparametric inference for species variety with Gibbs-type priors (Q902220) (← links)
• Bayesian semiparametric analysis of short- and long-term hazard ratios with covariates (Q1621326) (← links)
• Functional regression approximate Bayesian computation for Gaussian process density estimation (Q1658999) (← links)
• A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions (Q1663310) (← links)
• Nonparametric Bayesian inference in applications (Q1663603) (← links)
• Asymptotics for a Bayesian nonparametric estimator of species variety (Q1932228) (← links)
• The dependent Dirichlet process and related models (Q2075788) (← links)
• Hierarchical normalized completely random measures for robust graphical modeling (Q2290716) (← links)
• Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)
• Bayesian model averaging of possibly similar nonparametric densities (Q2358922) (← links)
• Bayesian nonparametric clustering and association studies for candidate SNP observations (Q2374506) (← links)
• Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation (Q2440185) (← links)
• An adaptive truncation method for inference in Bayesian nonparametric models (Q2631376) (← links)
• Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models (Q2683494) (← links)
• Modeling the Association Between Clusters of SNPs and Disease Responses (Q2800192) (← links)
• Bayesian Nonparametric Modeling Using Mixtures of Triangular Distributions (Q3078769) (← links)
• Latent factor models for density estimation (Q3191470) (← links)
• Bayesian hierarchically weighted finite mixture models for samples of distributions (Q3304925) (← links)
• Scalable Bayesian Nonparametric Clustering and Classification (Q3391447) (← links)
• Consensus Monte Carlo for Random Subsets Using Shared Anchors (Q5066739) (← links)
• Nonparametric Mixtures Based on Skew-normal Distributions: An Application to Density Estimation (Q5265850) (← links)
• A Likelihood-Tuned Density Estimator Via a Nonparametric Mixture Model (Q5378901) (← links)
• Introduction to ``On a class of \(\sigma \)-stable Poisson-Kingman models and an effective marginalized sampler'' by S. Favaro, M. Lomeli, Y. W. Teh (Q5963560) (← links)
• Modeling with normalized random measure mixture models (Q5965028) (← links)
• BNPdensity: Bayesian nonparametric mixture modelling in R (Q6075130) (← links)
• A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers (Q6570846) (← links)