Flexible Bayesian methods for zero-inflated microbiome data to understand microbial community dynamics and function
Sustainable Statistical Computing
A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
XDCS: X-3PO Decompression Sickness Model
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
Analyzing Microbiome Data with Taxonomic Misclassification using a Zero-Inflated Dirichlet-Multinomial Model
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
Teaching and Mentoring Award
Bayesian Nonparametric Approach for Clustering Functional Trajectories over Time
Bayesian Sparse Dirichlet-Multinomial Models for Discovering Latent Structure in High-Dimensional Compositional Count Data
Dynamic Functional Variable Selection for Multimodal mHealth Data
Functional Concurrent Regression Mixture Models Using Spiked Ewens-Pitman Attraction Priors
A Bayesian Joint Model for Mediation Effect Selection in Compositional Microbiome Data
A Bayesian Zero-Inflated Dirichlet-Multinomial Regression Model for Multivariate Compositional Count Data
Infinite Hidden Markov Models for Multiple Multivariate Time Series with Missing Data
Bayesian Continuous-Time Hidden Markov Models with Covariate Selection for Intensive Longitudinal Data with Measurement Error
A Bayesian Time-Varying Effect Model for Behavioral mHealth Data
A Bayesian model of microbiome data for simultaneous identification of covariate association and prediction of phenotypic outcomes
MicroBVS - Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package