Bayesian Nonparametric Federated Learning of Neural Networks
-
Updated
May 29, 2019 - Python
Bayesian Nonparametric Federated Learning of Neural Networks
A non-parametric Bayesian approach to Hidden Markov Models
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
Hierarchical Dirichlet Process Generalized Linear Models
Bayesian Non-Parametric Spatio-Temporal Models for fMRI data
Apache PredictionIO Template: Bayesian Nonparametric Chinese Restaurant Process Clustering
User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.
D-probabilities of parametric models using nonparametric model reference
Discovers nested gene co-expressing modules
Code for my Project in Statistics: Nonparametric drift estimation of stochastic differential equations
Bayesian predictive model for personalized treatment selection for new untreated patients, which leverages known predictive and prognostic biomarkers. In particular, predictive biomarkers are exploited to inform a product partition model with covariates (PPMx) to obtain homogeneous clusters.
The noparama software contains C++ Metropolis algorithms for nonparametric Bayesian models.
DPMP prior on model space
Add a description, image, and links to the nonparametricbayes topic page so that developers can more easily learn about it.
To associate your repository with the nonparametricbayes topic, visit your repo's landing page and select "manage topics."