Pages that link to "Item:Q137459"
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The following pages link to Modelling heterogeneity with and without the Dirichlet process (Q137459):
Displaying 50 items.
- SBMSplitMerge (Q54195) (← links)
- Generalized mixtures of finite mixtures and telescoping sampling (Q130362) (← links)
- Exploring dependence between categorical variables: benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms (Q254920) (← links)
- A Bayesian mixed logit-probit model for multinomial choice (Q299457) (← links)
- Selecting the precision parameter prior in Dirichlet process mixture models (Q419318) (← links)
- Generalized smooth finite mixtures (Q528085) (← links)
- A Monte Carlo Markov chain algorithm for a class of mixture time series models (Q692950) (← links)
- Slice sampling mixture models (Q692954) (← links)
- Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models (Q830563) (← links)
- A semi-parametric Bayesian approach for differential expression analysis of RNA-seq data (Q906075) (← links)
- A Dirichlet process mixture of hidden Markov models for protein structure prediction (Q993267) (← links)
- Bayesian modelling strategies for spatially varying regression coefficients: a multivariate perspective for multiple outcomes (Q1019887) (← links)
- Bayesian mixture of autoregressive models (Q1023925) (← links)
- Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation (Q1757668) (← links)
- Size-biased sampling and discrete nonparametric Bayesian inference (Q1765761) (← links)
- Sparse covariance estimation in heterogeneous samples (Q1952215) (← links)
- On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
- The dependent Dirichlet process and related models (Q2075788) (← links)
- ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification (Q2201329) (← links)
- Infinite mixtures of infinite factor analysers (Q2226717) (← links)
- A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data (Q2245171) (← links)
- Sensitivity of inferences in forensic genetics to assumptions about founding genes (Q2270671) (← links)
- Bayesian model averaging of possibly similar nonparametric densities (Q2358922) (← links)
- On selecting a prior for the precision parameter of Dirichlet process mixture models (Q2388972) (← links)
- From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering (Q2418083) (← links)
- On posterior consistency of tail index for Bayesian kernel mixture models (Q2419667) (← links)
- Modeling individual differences using Dirichlet processes (Q2507904) (← links)
- Regression density estimation using smooth adaptive Gaussian mixtures (Q2630124) (← links)
- Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models (Q2683494) (← links)
- A Nonparametric Frailty Model for Clustered Survival Data (Q3007834) (← links)
- Bayesian Meta-analysis for Longitudinal Data Models Using Multivariate Mixture Priors (Q3079075) (← links)
- Examining the Association between Deprivation Profiles and Air Pollution in Greater London using Bayesian Dirichlet Process Mixture Models (Q3298475) (← links)
- Bayesian profile regression with an application to the National survey of children's health (Q3303562) (← links)
- Bayesian mixture modeling using a hybrid sampler with application to protein subfamily identification (Q3303581) (← links)
- Demand Models With Random Partitions (Q3304831) (← links)
- Bayesian hierarchically weighted finite mixture models for samples of distributions (Q3304925) (← links)
- Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior (Q3506516) (← links)
- A New Bayesian Nonparametric Mixture Model (Q3577190) (← links)
- Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models (Q4506033) (← links)
- Dirichlet process mixture models for insurance loss data (Q4583621) (← links)
- Mixture Models With a Prior on the Number of Components (Q4690962) (← links)
- Exact and approximate sum representations for the Dirichlet process (Q4801372) (← links)
- A Method for Combining Inference Across Related Nonparametric Bayesian Models (Q4819025) (← links)
- Flexible Modeling of Frailty Effects in Clustered Survival Data (Q5050429) (← links)
- A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data (Q5058236) (← links)
- Sequentially allocated merge-split samplers for conjugate Bayesian nonparametric models (Q5083329) (← links)
- Gibbs sampling in DP-based nonlinear mixed effects models (Q5123524) (← links)
- Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease (Q5127104) (← links)
- A generalized mixture model applied to diabetes incidence data (Q5280198) (← links)
- A Flexible Bayesian Nonparametric Model for Predicting Future Insurance Claims (Q5379218) (← links)
