by tylermc@uw.edu | Feb 18, 2021 | Jobs
University of Washington
Seattle, Washington, USA.
by elisa@mi.imati.cnr.it | Feb 18, 2021 | News
On behalf of the Scientific and Organising Committees we are pleased to inform you that the Twelth Workshop on “Bayesian Inference in Stochastic Processes (BISP12)” will be held online on 27-28 May 2021 (afternoons, Central European Summer Time). Attendance is free of...
by Feng Liang | Feb 15, 2021 | World Meeting
by Feng Liang | Feb 12, 2021 | Meeting, News
The ISBA Executive Committee and Program Council have decided to convert the ISBA 2021 World Meeting to a virtual conference to be held during the week of June 28 – July 2, 2021. The current plan is to offer free attendance to the virtual conference. The...
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...
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].
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!
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!
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...