Pages that link to "Item:Q961211"
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The following pages link to Reversible jump MCMC in mixtures of normal distributions with the same component means (Q961211):
Displaying 11 items.
- Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components (Q140405) (← links)
- Overfitting Bayesian mixtures of factor analyzers with an unknown number of components (Q140406) (← links)
- A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data (Q961883) (← links)
- Reparameterisation issues in mixture modelling and their bearing on MCMC algorithms. (Q1277694) (← links)
- Reversible jump MCMC for nonparametric drift estimation for diffusion processes (Q1621341) (← links)
- Using hierarchical centering to facilitate a reversible jump MCMC algorithm for random effects models (Q1659251) (← links)
- Bayesian estimation of differential transcript usage from RNA-seq data (Q1670291) (← links)
- New approaches to compute Bayes factor in finite mixture models (Q2445786) (← links)
- Analysis of a multivariate Gaussian mixture model based on the DRJMCMC method (Q2918062) (← links)
- On a Family of Trimodal Distributions (Q2921841) (← links)
- Bayesian inference for mixtures of von Mises distributions using reversible jump MCMC sampler (Q5036874) (← links)