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In Memoriam: Herman K. van Dijk
Zellner Award Session at the 2022 ISBA World Meeting in Montreal (© Sylvia Frühwirth-Schnatter) Herman K. van Dijk, the founder of the European Seminar on Bayesian Econometrics (ESOBE) and a […]
February 4, 2025
2024 Zellner Medals
Congratulations to the recipients of the 2024 Zellner Medals: Sylvia Fruehwirth-Schnatter For fundamental innovative research in simulation-based Bayesian inference for dynamic models with substantial practical implication for forecasting, for true […]
January 6, 2025
2024 ISBA Fellows
Congratulations to the 2024 cohort of ISBA Fellows! Guido Consonni: In recognition of his commitment to mentoring junior statisticians, his significant methodological and theoretical contributions, particularly in objective Bayes and […]
2023 ISBA Award Winners
Congratulations to all of the winners of the 2023 ISBA Awards, as announced at the 2024 ISBA World Meeting: Blackwell-Rosenbluth Awards: Francois-Xavier Briol, Xenia Miscouridou, Maria Skoularidou, Jonathan H. Huggins, […]
An Introduction to Bayesian inference by Peter Green (2011)
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 […]
January 20, 2021
Bayesian inference for categorical data analysis: Alan Agresti’s slides (2006)
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
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)
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)
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 […]
“It Pays to Go Bayes”, a video lectures series on Bayesian Methods in Econometrics and Forecasting
“It Pays to Go Bayes” [Youtube link] is a video lecture series on Bayesian Methods in Econometrics and Forecasting edited by K. Surekha Rao. This series contains twenty-four foundational lectures […]
Tags: Bayesian Foundations Lectures
January 5, 2021
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