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Found 4 papers, 0 papers with code
BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data
The BayesBinMix package offers a Bayesian framework for clustering binary data with or without missing values by fitting mixtures of multivariate Bernoulli distributions with an unknown number of components.
Computation
Fast nonparametric clustering of structured time-series
In this publication, we combine two Bayesian non-parametric models: the Gaussian Process (GP) and the Dirichlet Process (DP).
Fast Variational Inference in the Conjugate Exponential Family
We present a general method for deriving collapsed variational inference algorithms for probabilistic models in the conjugate exponential family.
Efficient Sampling for Gaussian Process Inference using Control Variables
We describe an efficient Markov chain Monte Carlo algorithm for sampling from the posterior process of the GP model.
