Maximum entropy and minimum divergence models in Python
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Updated
Apr 20, 2024 - Jupyter Notebook
Maximum entropy and minimum divergence models in Python
A Julia package to support conjugate prior distributions.
A tool-box for prior elicitation.
Duality of view between named variables and flat vectors in Julia
priorsense: an R package for prior diagnostics and sensitivity
Material and ms for the paper @
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
R package for the simulation of the prior distribution of bayesian trees by Chipman et al. (1998).
Shiny WebApp for hetprior project
Course Final Project of COMS4995 Deep Learning Course
Tools for the Bayesian Discount Prior Function
A test of how informative priors can be
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
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