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An Introduction to Bayesian inference by Peter Green (2011)

by gregor.kastner@wu.ac.at | Jan 20, 2021 | Education, Video

Peter Green’s introductory lecture on Bayesian inference can be found here: http://videolectures.net/mlss2011_green_bayesian/. Description: Inference is the process of discovering from data about mechanisms that may have caused or generated that data, or at...

Bayesian inference for categorical data analysis: Alan Agresti’s slides (2006)

by gregor.kastner@wu.ac.at | Jan 20, 2021 | Education

A historical overview of the use of Bayesian inference for categorical data by Alan Agresti [PDF Download]. This is based on a paper which can be found here: [PDF Download].

Lecture slides on Hamiltonian Monte Carlo (HMC) by Aki Nishimura and Antonietta Mira

by gregor.kastner@wu.ac.at | Jan 20, 2021 | Education

Aki Nishimura and Antonietta Mira taught a short-course at Lugano about Hamiltonian Monte Carlo (HMC), and here are the source files for the beamer slides with accompanying R codes: https://github.com/aki-nishimura/hmc-lecture!

Video, Slides, and Code: Nonparametric Bayes (by Tamara Broderick)

by gregor.kastner@wu.ac.at | Jan 20, 2021 | Education, Video

Tamara Broderick has a wonderful information set (Video, Slides, Code) about Nonparametric Bayes. Check it out here: http://people.csail.mit.edu/tbroderick/tutorial_2016_mlss_cadiz.html!

Video and Slides: Variational Bayes and Beyond (by Tamara Broderick)

by gregor.kastner@wu.ac.at | Jan 20, 2021 | Education, Video

The ICML 2018 tutorial by Tamara Broderick entitled “Variational Bayes and beyond: Bayesian inference for big data” can be found here: http://people.csail.mit.edu/tbroderick/tutorial_2018_icml.html. Abstract: Bayesian methods exhibit a number of desirable...
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