◽ <- ⚪ Structural Equation Modeling from a broader context.
-
Updated
Jan 8, 2019 - R
◽ <- ⚪ Structural Equation Modeling from a broader context.
Dirichlet Process K-means
BayesianNonparametrics in julia
Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
Bayesian Non-Parametric Image Segmentation using HDP-MRF
Toolbox for spectral non-parametric clustering of SPD matices (covariance matrices and ellipsoids). Also contains code for EM-based GMM learning and inference for Bayesian non-parametric CRP-GMM.
Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
Bayesian Nonparametric Mixture Models in Julia
Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
Bayesian Nonparametric Mixture Models in Java
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
Bayesian Nonparametrics Models
Statistical analysis and modeling using R, particularly with a focus on cluster analysis and visualization of probabilities
Survival Based Clustering : Consistent Clustering of continuous molecular data with censored survival times
Rcpp Package implements Hierarchical Functional Models
Bayesian Additive Regresssion Kernels
3 week Capstone project with BP - predicting part failure based on historical data
Add a description, image, and links to the bayesian-nonparametric-models topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-nonparametric-models topic, visit your repo's landing page and select "manage topics."