Paul Bürkner: An introduction to Bayesian multilevel modeling with brms Share: Download MP3 Similar Tracks Bayesian Modeling with R and Stan (Reupload) Salt Lake City R Users Group Frequentism and Bayesianism: What's the Big Deal? | SciPy 2014 | Jake VanderPlas Enthought Statistics 101: Multiple Linear Regression, The Very Basics 📈 Brandon Foltz Benjamin Goodrich: Introduction to Bayesian Computation Using the rstanarm R Package Generable Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models) Quant Psych Introduction to PyTorch PyTorch Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6) National Centre for Research Methods (NCRM) The Bayesians are Coming to Time Series AICamp Introduction to Bayesian data analysis - Part 2: Why use Bayes? rasmusab R-Ladies Amsterdam: Intro to Bayesian Statistics in R by Angelika Stefan R- Ladies Amsterdam A hands-on example of Bayesian mixed models with brms, Andrey Anikin - Bayes@Lund 2018 rasmusab Introduction to Bayesian data analysis - part 1: What is Bayes? rasmusab Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck Montreal-Python #statistics 13: Statistical Estimation; Point Estimation of Mean and Proportion. Mella Tutorials Some Bayesian Modeling Techniques in Stan Tokyo Stan Introduction to Bayesian Statistics - A Beginner's Guide Woody Lewenstein Bayesian Hierarchical Models NEON Science Andrew Gelman: Introduction to Bayesian Data Analysis and Stan with Andrew Gelman Generable Lester Mackey: Kernel Thinning and Stein Thinning Generable The Bayesian Workflow: Building a COVID-19 Model, Part 1 (Thomas Wiecki) PyMC Developers