A user-friendly Bayesian software to analyse mixed models
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Updated
Mar 2, 2023 - R
A user-friendly Bayesian software to analyse mixed models
This repository consist of a compendium of assignments and their respective solutions for an advanced course in Applied Bayesian Statistics
Introduction to Bayesian Inference & Modelling
First-order probabilistic programming language
Overview of Bayesian modeling with code examples
Bayesian inference on monthly sunspot data to find Jupiter's influence
A simple educational exercise on Bayesian inference.
Simple code giving the probability from the true versus the false positive rate
Jupyter Notebook solutions for Advanced Statistical Inference course at EURECOM
Public Website for Nicholas Malaya
Using Bayesian inference and Rule learning to find the answer of choice question
Various projects using Bayesian analysts
R/C code for Bayesian variable selection for Dirichlet-multinomial regression models. Accompany paper: Wadsworth et al. (2016). An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome data. BMC Bioinformatics 18:94.
Bayesian and maximum likelihood fits
Supplementing a Bayesian Network with classical and defeasible inference logical statements.
Inferring coin biases in a model with latent selector variable
Gibbs Sampler example with Hierarchical Bayes for inference
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