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
A Bayesian model for click, position, and impression data
This repository contains functions for obtaining posterior samples of allocation variables in multiple Bayesian over-fitted (sparse finite) mixed-scale mixture models. Mixture models included: 1) Bayesian Tensor Mixture of Product Kernels model (BayesTMPK), 2) Modularized Tensor Factorizations (MOTEF), 3) Bayesian Mixture of Product Kernels (Bay…
An example of a Bayesian network for credit-worthiness
Notebooks to classify the Palmer's penguin dataset using PyMC3
R code for manuscript "Ordinal models for strategy sophistication"
'Uncertainty' programming assignments for the Harvard CS50's Introduction to Artificial Intelligence with Python 2021 course
Reproducibility Check for Journal of the American Statistical Association (Theory and Methods)
Analysis of seasonal habitat-use patterns of Aldabra giant tortoises of Aldabra Atoll, Seychelles using temporary emigration models.
Collab Notebook Learned and Implemented During Spring 2024
Slides for the online-learning-talk from a Bayesian perspective.
Coronavirus disease (COVID-19) pandemic Visualization & Prediction
Classifier module using Bayesian's theorem.
Developmental version of R package BayesTwin
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A simple Android app for naive bayesian classification.
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