Pinned Repositories
Bayesian-Semiparametric-Longitudinal-Drift-Diffusion-Mixed-Models-for-Tone-Learning-in-Adults
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults, by Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran, Abhra Sarkar
Bayesian_Nonparametric_Frailty
Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.
BayesIV_Simulations
Simulation code for Nonparametric Bayesian Instrumental Variable Analysis
bayesmix
Flexible Bayesian nonparametric mixture models in C++
BaySemiCompeting
A Bayesian Nonparametric Approach for Evaluating the Causal Effect of Treatment in Randomized Trials with Semi-Competing Risks
BNMPD
Bayesian Nonparametric Multivariate Panel Data Models
BNP_4_HMSEM
Bayesian nonparametric inference for heterogeneously-mixing infectious disease models
BNPclassification
This repostitory contains the files need to run the methods outlined in the manuscript "A Bayesian Nonparametric Model for Classification of Longitudinal Profiles" by Jeremy Gaskins, Claudio Fuentes, and Rolando de la Cruz (https://arxiv.org/abs/1711.01512).
BNPdynIRT
RCpp package for the implementation of a Bayesian semiparametric dynamic IRT model
BoutryPersonal
sommukh's Repositories
sommukh/BoutryPersonal
sommukh/Bayesian-Semiparametric-Longitudinal-Drift-Diffusion-Mixed-Models-for-Tone-Learning-in-Adults
Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults, by Giorgio Paulon, Fernando Llanos, Bharath Chandrasekaran, Abhra Sarkar
sommukh/Bayesian_Nonparametric_Frailty
Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.
sommukh/BayesIV_Simulations
Simulation code for Nonparametric Bayesian Instrumental Variable Analysis
sommukh/bayesmix
Flexible Bayesian nonparametric mixture models in C++
sommukh/BaySemiCompeting
A Bayesian Nonparametric Approach for Evaluating the Causal Effect of Treatment in Randomized Trials with Semi-Competing Risks
sommukh/BNMPD
Bayesian Nonparametric Multivariate Panel Data Models
sommukh/BNP_4_HMSEM
Bayesian nonparametric inference for heterogeneously-mixing infectious disease models
sommukh/BNPclassification
This repostitory contains the files need to run the methods outlined in the manuscript "A Bayesian Nonparametric Model for Classification of Longitudinal Profiles" by Jeremy Gaskins, Claudio Fuentes, and Rolando de la Cruz (https://arxiv.org/abs/1711.01512).
sommukh/BNPdynIRT
RCpp package for the implementation of a Bayesian semiparametric dynamic IRT model
sommukh/BNPmix
Bayesian Nonparametric Mixture models
sommukh/BNPmix-1
:exclamation: This is a read-only mirror of the CRAN R package repository. BNPmix — Bayesian Nonparametric Mixture Models
sommukh/DPM
Bayesian analysis of ordinal traits with nonparametric random effects
sommukh/fatwalrus
sommukh/gp_conditional_logit
Gaussian process conditional logit model
sommukh/NNGP_STAN
Nearest Neighbor Gaussian Processes (NNGP) based models is a family of highly scalable Gaussian processes based models. In brief, NNGP extends the Vecchia's approximation to a process using conditional independence given information from neighboring locations. In this case study, I will briefly review response and random-effects NNGP models, illustrate how to code NNGP in Stan, and provide examples of implementing NNGP based models in Stan.
sommukh/Nonparametric-Bayesian-Instrumental-Variable-Analysis-Evaluating-Heterogeneous-Effects-of-Coronar...
Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies, by Samrachana Adhikari, Sherri Rose, Sharon-Lise Normand
sommukh/sbgcop
Semiparametric Bayesian Copula Estimation
sommukh/sommukh.github.io
sommukh/stan4bart
Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
sommukh/SUMS
R/C++ package for the implementation of the SUMS model described in: "Seemingly-Unrelated Multi-State processes: a Bayesian nonparametric approach"