Notebooks
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Apr 16, 2020 - Jupyter Notebook
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nonparametric-bayes
Here are 8 public repositories matching this topic...
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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May 26, 2026 - C++
Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.
bayesian-inference hamiltonian-monte-carlo dirichlet-process-mixtures heterogeneous-systems reliability-analysis nonparametric-bayes
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Sep 8, 2024 - C++
Compositional Contextual Associative Bandits
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Feb 26, 2026 - Python
Exploring Nonparametric Bayesian Model in NLP
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Dec 7, 2022
Code for UAI 2025 paper: Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data
bayesian-statistics clustering-methods time-series-clustering vector-autoregression nonparametric-bayes multi-facet-clustering nonlinear-growth-model
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Aug 5, 2025 - Python
Robust probabilistic inference via a constrained transport metric
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Sep 3, 2023 - R
Reproducibility materials for Dalla Pria, Ruggiero, Spanò, “Exact inference via quasi-conjugacy in two-parameter Poisson–Dirichlet hidden Markov models”, JASA (forthcoming). This repository includes R code, R Markdown notebooks, and cached outputs to reproduce the analyses, simulations, and figures.
integer-partitions filtering-methods nonparametric-bayes infinite-dimensional-diffusions stochastic-duality
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May 26, 2026 - HTML
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