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Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

A Python/C++ implementation of Bayesian Factorization Machines

Lda_thesis ⭐ 49

Hierarchical, multi-label topic modelling with LDA

A Latent Dirichlet Allocation implementation in Python.

Code to perform multivariate linear regression using Gibbs sampling

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Bayesian trend filtering micro library. http://trendpy.readthedocs.io/en/latest/

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