A tool-box for prior elicitation.
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Updated
May 16, 2024 - Python
A tool-box for prior elicitation.
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 @
Shiny WebApp for hetprior project
Bayesian Inference on the risk factors for cervical cancer
This repository contains supplementary files for the paper "Sample Size Determination: Posterior Distributions Proximity"
Course Final Project of COMS4995 Deep Learning Course
Tools for the Bayesian Discount Prior Function
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
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