Pages that link to "Item:Q4844191"

The following pages link to Bayesian Density Estimation and Inference Using Mixtures (Q4844191):

Displaying 50 items.

• Semiparametric multivariate and multiple change-point modeling (Q2316981) (← links)
• Geometric sensitivity measures for Bayesian nonparametric density estimation models (Q2316997) (← links)
• Semiparametric Bayesian analysis for longitudinal mixed effects models with non-normal AR(1) errors (Q2329784) (← links)
• A tutorial on Dirichlet process mixture modeling (Q2332845) (← links)
• Bayesian nonparametric disclosure risk estimation via mixed effects log-linear models (Q2349591) (← links)
• Tests for statistical significance of a treatment effect in the presence of hidden sub-populations (Q2353370) (← links)
• A fully Bayesian approach to assessment of model adequacy in inverse problems (Q2360936) (← links)
• A Bayesian semiparametric model for volatility with a leverage effect (Q2361227) (← links)
• Estimation in Dirichlet random effects models (Q2380094) (← links)
• Bayesian parametric inference in a nonparametric framework (Q2384667) (← links)
• Normalized random measures driven by increasing additive processes (Q2388328) (← links)
• On selecting a prior for the precision parameter of Dirichlet process mixture models (Q2388972) (← links)
• Semiparametric Bayesian inference for mean-covariance regression models (Q2403991) (← links)
• Bayesian mixture modeling for spectral density estimation (Q2407784) (← links)
• Bayesian hidden Markov models for dependent large-scale multiple testing (Q2416747) (← links)
• Modal posterior clustering motivated by Hopfield's network (Q2416772) (← links)
• From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering (Q2418083) (← links)
• Estimating the mean and variance of a high-dimensional normal distribution using a mixture prior (Q2419159) (← links)
• On posterior consistency of tail index for Bayesian kernel mixture models (Q2419667) (← links)
• Kullback Leibler property of kernel mixture priors in Bayesian density estimation (Q2426836) (← links)
• Supervised learning of multivariate skew normal mixture models with missing information (Q2430235) (← links)
• Smoothness properties and gradient analysis under spatial Dirichlet process models (Q2433259) (← links)
• Bayesian nonparametric regression with varying residual density (Q2434133) (← links)
• Bayesian semiparametric multivariate GARCH modeling (Q2442573) (← links)
• Latent protein trees (Q2443137) (← links)
• Copula based factorization in Bayesian multivariate infinite mixture models (Q2443267) (← links)
• Semiparametric Bayes hierarchical models with mean and variance constraints (Q2445672) (← links)
• Bayesian hierarchical multivariate formulation with factor analysis for nested ordinal data (Q2452302) (← links)
• A semi-parametric Bayesian model of inter- and intra-examiner agreement for periodontal probing depth (Q2453675) (← links)
• Mixture models, latent variables and partitioned importance sampling (Q2485463) (← links)
• Empirical Bayes nonparametric kernel density estimation (Q2489861) (← links)
• Exact inference for random Dirichlet means (Q2492806) (← links)
• Bayesian nonparametric analysis for a generalized Dirichlet process prior (Q2492808) (← links)
• A predictive view of Bayesian clustering (Q2495818) (← links)
• On fast supervised learning for normal mixture models with missing information (Q2499133) (← links)
• Semiparametric estimation of a two-component mixture model (Q2500451) (← links)
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling (Q2503968) (← links)
• Modeling individual differences using Dirichlet processes (Q2507904) (← links)
• Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture (Q2512619) (← links)
• Call center service process analysis: Bayesian parametric and semi-parametric mixture modeling (Q2514772) (← links)
• A BYY scale-incremental EM algorithm for Gaussian mixture learning (Q2518492) (← links)
• Nonparametric Bayesian survival analysis using mixtures of Weibull distributions (Q2581640) (← links)
• Regression density estimation using smooth adaptive Gaussian mixtures (Q2630124) (← links)
• An adaptive truncation method for inference in Bayesian nonparametric models (Q2631376) (← links)
• Multivariate functional data modeling with time-varying clustering (Q2666063) (← links)
• Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data (Q2680185) (← links)
• Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models (Q2683494) (← links)
• Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes (Q2686034) (← links)
• Optimal Bayesian estimation of Gaussian mixtures with growing number of components (Q2692528) (← links)
• A regime switching skew-normal model of contagion (Q2697018) (← links)