A tool-box for prior elicitation.
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Updated
Aug 29, 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
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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