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

Material for course ADA511 at HVL

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

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

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

The Trendiness of Trends

PhD Thesis

research journal

spectral timing for irregularly sampled data

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

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

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.

Personal notes for bayesian data analysis course (University of Edinburgh 2017-1)

My talk at the Institute of Evolutionary Biology Postgraduate Symposium 2017

Mathematics Developers Survey (a Bayesian approach)

A quick start guide to SMC for static Bayesian modelling

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

Assignment 5, Data Analysis and Interpretation, Autumn 2020, IIT Bombay