Exploring and eliciting probability distributions

priorsense: an R package for prior diagnostics and sensitivity

A Julia package to support conjugate prior distributions.

Maximum entropy and minimum divergence models in Python

Duality of view between named variables and flat vectors in Julia

R package for the simulation of the prior distribution of bayesian trees by Chipman et al. (1998).

Some remarks on prior modelling for the basic reproductive number in the Susceptible-Infected-Recovered (SIR) epidemic model

Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets

A test of how informative priors can be

Material and ms for the paper @

Expert knowledge elicitation method for learning prior distribution in Bayesian models based on expert knowledge.

This repository contains the code for estimating the shape parameters of the Beta distribution using a Bayesian approach. It includes implementations of Bayesian techniques, such as empirical and subjective methods.

Shiny WebApp for hetprior project

Course Final Project of COMS4995 Deep Learning Course

Tools for the Bayesian Discount Prior Function

Bayesian Inference on the risk factors for cervical cancer

This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface