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
Course of Special Topics in Statistics at UEM in 2017
My notepad for future me about popular Machine Learning algorithms.
Statistical Machine Learning - master's degree course
mcmc , mcmc abc and sac abc code
The probabilistic reasoning about phenomenon called MMA math using UFC fighters data and Python.
This report describes a model for understanding and forecasting loan deferment rates due to labor market shocks using a Bayesian mixed-models approach.
Natural Language Processing
Evaluating photo-z redshift methods
A review of Silverman (2020) "Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches"
Using Bayesian Stats and data from over 15 countries to see what actually influences the grocery prices: location, or product, or a store type?
Solving the Monty Hall game using Bayesian networks
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