Pages that link to "Item:Q4844191"

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

Displaying 50 items.

• Bayesian test of normality versus a Dirichlet process mixture alternative (Q2040662) (← links)
• A survey of nonparametric mixing density estimation via the predictive recursion algorithm (Q2040663) (← links)
• A Bayesian hierarchical model for evaluating forensic footwear evidence (Q2044268) (← links)
• A review of uncertainty quantification for density estimation (Q2048457) (← links)
• A Dirichlet process mixture model for non-ignorable dropout (Q2057350) (← links)
• A two-stage Bayesian semiparametric model for novelty detection with robust prior information (Q2058768) (← links)
• Truncated simulation and inference in edge-exchangeable networks (Q2074285) (← links)
• On Bayesian analysis of parsimonious Gaussian mixture models (Q2075730) (← links)
• Bayesian analysis of rank data with covariates and heterogeneous rankers (Q2075787) (← links)
• A Bayesian nonparametric approach to super-resolution single-molecule localization (Q2078289) (← links)
• A Bayesian time-varying effect model for behavioral mHealth data (Q2078764) (← links)
• Semi-supervised nonparametric Bayesian modelling of spatial proteomics (Q2080769) (← links)
• Dirichlet process and its developments: a survey (Q2080929) (← links)
• Estimation of the complexity of a finite mixture distribution: from well- to less known methods (Q2081736) (← links)
• Learning under unawareness (Q2088612) (← links)
• How many data clusters are in the galaxy data set? Bayesian cluster analysis in action (Q2089292) (← links)
• Estimating a mixing distribution on the sphere using predictive recursion (Q2091323) (← links)
• Is infinity that far? A Bayesian nonparametric perspective of finite mixture models (Q2105188) (← links)
• Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations (Q2135345) (← links)
• The role of intrinsic dimension in high-resolution player tracking data -- insights in basketball (Q2135355) (← links)
• Importance conditional sampling for Pitman-Yor mixtures (Q2141913) (← links)
• Bayesian nonparametric learning of how skill is distributed across the mutual fund industry (Q2155311) (← links)
• Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels (Q2157498) (← links)
• A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK (Q2179980) (← links)
• On the inferential implications of decreasing weight structures in mixture models (Q2181543) (← links)
• A scalable Bayesian nonparametric model for large spatio-temporal data (Q2184402) (← links)
• Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics (Q2195280) (← links)
• Classification of periodic arrivals in event time data for filtering computer network traffic (Q2209702) (← links)
• Sampling hierarchies of discrete random structures (Q2209723) (← links)
• Hierarchical species sampling models (Q2226710) (← links)
• A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data (Q2245171) (← links)
• Inflection points in community-level homeless rates (Q2245180) (← links)
• A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation (Q2255951) (← links)
• Semi-parametric Bayesian estimation of mixed-effects models using the multivariate skew-normal distribution (Q2259207) (← links)
• Bayesian analysis of semiparametric linear-circular models (Q2259967) (← links)
• Hypothesis tests on mixture model components with applications in ecology and agriculture (Q2260162) (← links)
• Bayesian nonparametric predictive modeling of group health claims (Q2260939) (← links)
• A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-popu\-la\-tion data (Q2270673) (← links)
• Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning (Q2270738) (← links)
• Sharp bounds on distribution functions and expectations of mixtures of ordered families of distributions (Q2273149) (← links)
• On the Bayesian nonparametric generalization of IRT-type models (Q2275424) (← links)
• Stylometric analyses using Dirichlet process mixture models (Q2276199) (← links)
• Advances in Bayesian decision making in reliability (Q2282489) (← links)
• On a loss-based prior for the number of components in mixture models (Q2288805) (← links)
• Robust estimation of mixing measures in finite mixture models (Q2295018) (← links)
• Bayesian semiparametric double autoregressive modeling (Q2298423) (← links)
• Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
• A Bayesian nonparametric model for upper record data (Q2310663) (← links)
• A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control (Q2316978) (← links)
• Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)