🌲 Integrating Sample Similarity Information into Latent Class Models: A Tree-Structured Shrinkage Approach

R implementations of a variational EM approach for Stochastic Block Model with covariates

R package for VIMIX: Variational Inference for MIXture models

🎄🎄 Nested Latent Class Models for Domain-Adaptive and Semi-supervised Learning of Cause-of-Deaths using Verbal Autopsy

Meet nestor, an R package for the variational inference of species interaction networks from abundance data, while accounting for missing actors.

Detecting mutational signatures via bayesian inference and a reference catalog

Code for simulation studies and UK Biobank application in paper 'Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior'

In this project, we deploy the Bayesian Convolution Neural Networks (BCNN), proposed by Gal and Ghahramani [2015] to classify microscopic images of blood samples (lymphocyte cells). The data contains 260 microscopic images of cancerous and non-cancerous lymphocyte cells. We experiment with different network structures to obtain the model that re…

atlasqtl R package - Fast global-local hotspot QTL detection

Full results to accompany Zhu and Stephens (2018).

mfair: Matrix Factorization with Auxiliary Information in R

locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression

Bayesian Clustering and Imputation of Single Cell Methylomes

Cluster high dimensional categorical datasets

Regression with Summary Statistics exploiting Network Topology.

Variational Inference for Langevin Equations

Bayesian mixture models for estimating and clustering cancer cell fractions

CmdStanR: the R interface to CmdStan