Mixtures of Exponential-Distance Models for Clustering Longitudinal Life-Course Sequences with Gating Covariates and Sampling Weights
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Updated
Mar 10, 2025 - R
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distance-based-clustering
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Flexible Bayesian clustering framework with MCMC inference. Supports multiple nonparametric priors (DP, NGGP), distance-based models, and state-of-the-art samplers including Split-Merge algorithms. Built in C++ for efficient computations.
cpp clustering eigen mcmc bayesian-statistics gibbs-sampling statistical-computing nonparametric-bayes split-merge distance-based-clustering
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Nov 25, 2025 - C++
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