Bayesian Data Analysis course at Aalto

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

📖 R 语言数据分析实战（写作中） Data Analysis in Action Using R

This is a community-driven collection of resources around amortized inference.

The Trendiness of Trends

Repo for a book on Bayesian capture-recapture w/ HMMs

A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)

A blog about Economics, Bayesian data analysis, machine learning, complexity economics and critical thinking

Material for course ADA511 at HVL

A quick start guide to SMC for static Bayesian modelling

Estimation of causal effects with small data in the presence of trapdoor variables

Interaction-Partitioned Topic Models (IPTM) using a Point Process Approach

Course notes - HAD5314H Applied Bayesian Methods in Clinical Epidemiology and Health Care Research

research journal

notes on machine learning & pattern recognition

Constraining the stellar evolution history of TRAPPIST-1 using MCMC and machine learning with approxposterior

PhD Thesis

Documentation for BaM and its models

Repository for "From Seeing to Believing? How Female Representation Shapes Support for Democracy"

My MSc thesis: Molecular movies and geometry reconstruction using Coulomb explosion imaging. EDIT: Perfect 2^8 = 256 commits means I should never commit to this repo again.