Bayesian Data Analysis course at Aalto

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

cheat sheet for Artificial Intelligence

Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R

slides primarily based on the textbook "Bayesian Data Analysis Third Edition" by Gelman, Carlin, Stern, Dunson, Vehtari and Rubin

PriorDB aims to make choosing a prior for a Bayesian model easier

A repository for the "Cognate beginnings to bilingual lexical acquisition" study

We are presenting a Bayesian local-level model and its extensions

Notes on the Bayesian Statistics w4224 class from Columbia

A collaborative repository highlighting Bayesian autoregressive analysis with extensions. It is prepared by the students of Macroeconometrics at the University of Melbourne.

Feng Li's texmf database

Code and data to reproduce "A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints"

Introduction to Mathematical Statistics II

Bayes Net — Inference-by-enumeration

Neural network, ab-pruning and fuzzy logic algorithms.

Implementations of the ACE algorithm for Bayesian DOE for GLMs

Bayesian Multi-Parameter Evidence Synthesis (MPES) to estimate TB epidemiological parameters.

Bayesian Data Analysis course at Aalto