International Society for Bayesian Analysis

Bayesian statistics syllabus

A description of the syllabus that will be covered in this course on Bayesian statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortunately, Ox Educ is no m

From playlist Bayesian statistics: a comprehensive course

Tim Sullivan: Brittleness and robustness of Bayesian inference for complex systems

Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b

From playlist Numerical Analysis and Scientific Computing

Bayesian vs frequentist statistics probability - part 1

This video provides an intuitive explanation of the difference between Bayesian and classical frequentist statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfo

From playlist Bayesian statistics: a comprehensive course

Kerrie Mengersen: Bayesian Modelling

Abstract: This tutorial will be a beginner’s introduction to Bayesian statistical modelling and analysis. Simple models and computational tools will be described, followed by a discussion about implementing these approaches in practice. A range of case studies will be presented and possibl

From playlist Probability and Statistics

Bayesian vs frequentist statistics

This video provides an intuitive explanation of the difference between Bayesian and classical frequentist statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Un

From playlist Bayesian statistics: a comprehensive course

Bayesian vs frequentist statistics probability - part 2

This video provides a short introduction to the similarities and differences between Bayesian and Frequentist views on probability. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdi

From playlist Bayesian statistics: a comprehensive course

17. Bayesian Statistics

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Bayesian approach, Bayes rule, posterior distribution, and non-informative priors. License: Creative Commons

From playlist MIT 18.650 Statistics for Applications, Fall 2016

Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 1: Bayesian analysis...

Bayesian inference and mathematical imaging - Part 1: Bayesian analysis and decision theory Abstract: This course presents an overview of modern Bayesian strategies for solving imaging inverse problems. We will start by introducing the Bayesian statistical decision theory framework underp

From playlist Probability and Statistics

Statistical Rethinking Winter 2019 Lecture 01

Lecture 01 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan.

From playlist Statistical Rethinking Winter 2019

Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series

The Turing Lectures - Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series. Click the below timestamps to navigate the video. 00:00:12 Welcome & Introduction by Doctor Ioanna Manolopoulou 00:01:19 Professor Mike West: Structured Dynamic

From playlist Turing Lectures

DSI | Just machine learning

Just machine learning In this talk, I will address some concerns about the use of machine learning in situations where the stakes are high (such as criminal justice, law enforcement, employment decisions, credit scoring, health care, public eligibility assessment, and school assignments).

From playlist DSI Virtual Seminar Series

Probability theory and AI | The Royal Society

Join Professor Zoubin Ghahramani to explore the foundations of probabilistic AI and how it relates to deep learning. 🔔Subscribe to our channel for exciting science videos and live events, many hosted by Brian Cox, our Professor for Public Engagement: https://bit.ly/3fQIFXB #Probability #A

From playlist Latest talks and lectures

Antonietta Mira: Big data for health: a Bayesian spatio-temporal analysis for predicting ...

Abstract: The term ‘Public Access Defibrillation’ (PAD) is referred to programs based on the placement of Automated External Defibrillators (AED) in key locations along cities’ territory together with the development of a training plan for users (first responders). PAD programs are conside

From playlist Probability and Statistics

Sylvia Frühwirth-Schnatter: Bayesian econometrics in the Big Data Era

Abstract: Data mining methods based on finite mixture models are quite common in many areas of applied science, such as marketing, to segment data and to identify subgroups with specific features. Recent work shows that these methods are also useful in micro econometrics to analyze the beh

From playlist Probability and Statistics

Introduction to machine learning: Professor Zoubin Ghahramani, Cambridge University

Zoubin Ghahramani FRS is Professor of Information Engineering at the University of Cambridge, where he leads the Machine Learning Group, and the Cambridge University Liaison Director of the Alan Turing Institute, the UK’s national institute for Data Science. He is also the Deputy Academic

From playlist Data science classes

Statistical Rethinking Fall 2017 - week01 lecture01

Week 01, lecture 01 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapters 1 and 2. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http

From playlist Statistical Rethinking Fall 2017

Statistical Rethinking 2022 Lecture 10 - Counts & Confounds

Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music etc: Intro: https://www.youtube.com/watch?v=Qut2getKFT4 River Kelvin: https://www.youtube.com/watch?v=hh2Vs13sdNk Tide machine: https://www.youtube.com/watch?v=DmxLUb8g10Q Lego tides: https://www.y

From playlist Statistical Rethinking 2022

Making Statistics Accessible: Approaches to Missing Data

Sponsored by the Center for Interdisciplinary Research on AIDS (CIRA) at Yale University's Interdisciplinary Research Methods Core. The presenters are Russell Barbour, Ph.D., CIRA, and Eugenia Buta, Ph.D., CIRA and The Yale Center of Analytical Studies (YCAS).

From playlist Center for Interdisciplinary Research on AIDS

Communicating Complex Statistical Ideas to the Public: Lessons from the Pandemic - D. Spiegelhalter

The pandemic has demonstrated how important data becomes at a time of crisis. But statistics are tricky: they don't always mean what we think they mean, there are many subtle pitfalls, and some people misrepresent their message. Their interpretation is an art. David Spiegelhalter describes

From playlist Oxford Mathematics Public Lectures

15a - Maximum likelihood estimator - short introduction

This video provides a short introduction to maximum likelihood estimation. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Also, check out: https://ben-lambert.com/econom

From playlist Bayesian statistics: a comprehensive course