Hierarchical Bayesian modeling of RLDM tasks, using R & Python

An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data

Modified Gravity and Cosmology with Binary Black Holes' Population models : hierarchical bayesian inference package for constraining the Hubble constant, modified GW propagation and BBH population models with GWs.

Combined Hierarchical Inference Model for Electromagnetic and gRavitational Wave Analysis

Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks

Deep Modeling of Strong Gravitational Time Delay Lenses for Bayesian Inference of the Hubble Constant

Gravitational-wave population inference allowing narrow population features with minimal edge bias

Optimal drug dosing with MCMC using rstan

Shiny BPTO Conjoint Siumlator for HB models

Balloon Risk Aversion Task (BRAT) is an inverted design of the conventional BART task. In this project, we explore the computational evidence for whether the change in the task’s design has succeeded in changing the cognitive processes of the subject.

Gibbs Sampler example with Hierarchical Bayes for inference

SensibleSleep is an open-source Python package that implements a Hierarchical Bayesian model for learning sleep patterns from smartphone screen-on events.