Pages that link to "Item:Q4844191"

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

Displaying 50 items.

• Importance sampling schemes for evidence approximation in mixture models (Q516488) (← links)
• Computationally tractable approximate and smoothed Polya trees (Q517373) (← links)
• Sequential Monte Carlo methods for mixtures with normalized random measures with independent increments priors (Q517389) (← links)
• Robust identification of highly persistent interest rate regimes (Q518607) (← links)
• Generalized smooth finite mixtures (Q528085) (← links)
• Bayesian semiparametric analysis for latent variable models with mixed continuous and ordinal outcomes (Q530384) (← links)
• Additive cubic spline regression with Dirichlet process mixture errors (Q530952) (← links)
• Spiked Dirichlet process priors for Gaussian process models (Q544464) (← links)
• Bayesian semiparametric structural equation models with latent variables (Q615671) (← links)
• Application of Dirichlet mixture of normals in growth curve models (Q634834) (← links)
• A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments (Q641064) (← links)
• False discovery rates in somatic mutation studies of cancer (Q641083) (← links)
• Posterior simulation across nonparametric models for functional clustering (Q641799) (← links)
• On Bayesian ``central clustering'': application to landscape classification of Western Ghats (Q652362) (← links)
• Non-parametric Bayesian inference for continuous density hidden Markov mixture model (Q670194) (← links)
• Assessing heterogeneity for factor analysis model with continuous and ordinal outcomes (Q670216) (← links)
• A Monte Carlo Markov chain algorithm for a class of mixture time series models (Q692950) (← links)
• Slice sampling mixture models (Q692954) (← links)
• Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity (Q693270) (← links)
• A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression (Q730819) (← links)
• Bayesian semiparametric stochastic volatility modeling (Q736526) (← links)
• Bayesian inference in a sample selection model (Q738081) (← links)
• A Poisson mixture model of discrete choice (Q738112) (← links)
• Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis (Q746096) (← links)
• Bayesian semiparametric modeling and inference with mixtures of~symmetric distributions (Q746183) (← links)
• Conditional density estimation and simulation through optimal transport (Q782433) (← links)
• A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (Q783308) (← links)
• A dependent Dirichlet process model for survival data with competing risks (Q825212) (← links)
• Tractable Bayesian density regression via logit stick-breaking priors (Q826968) (← links)
• Deep distribution regression (Q830104) (← links)
• Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions (Q830541) (← links)
• Consistency of a recursive estimate of mixing distributions (Q834348) (← links)
• Optimizing random scan Gibbs samplers (Q853941) (← links)
• Generalized moment theory and Bayesian robustness analysis for hierarchical mixture models (Q870499) (← links)
• The BYY annealing learning algorithm for Gaussian mixture with automated model selection (Q882225) (← links)
• Univariate Bayesian nonparametric mixture modeling with unimodal kernels (Q892442) (← links)
• Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions (Q894831) (← links)
• Matrix-variate Dirichlet process priors with applications (Q899020) (← links)
• Local-mass preserving prior distributions for nonparametric Bayesian models (Q899026) (← links)
• Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions (Q899035) (← links)
• Semiparametric Bayesian inference for stochastic frontier models (Q899522) (← links)
• A Bayesian nonparametric approach for the analysis of multiple categorical item responses (Q899537) (← links)
• Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling (Q901521) (← links)
• Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis (Q901631) (← links)
• The local Dirichlet process (Q907085) (← links)
• Homogeneous clustering method for data on tumor incidence due to dose levels (Q955855) (← links)
• Drug risk assessment with determining the number of sub-populations under finite mixture normal models (Q956969) (← links)
• Data driven estimates for mixtures (Q957036) (← links)
• Segmenting magnetic resonance images via hierarchical mixture modelling (Q959183) (← links)
• An improved collapsed Gibbs sampler for Dirichlet process mixing models (Q959192) (← links)