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CBMS Conference — Foundations of Causal Graphical Models and Structure Discovery

by Yang | Jan 23, 2023 | News

The Department of Statistics at Texas A&M University will host the CBMS Conference — Foundations of Causal Graphical Models and Structure Discovery from May 15 to May 19, 2023 supported by the National Science Foundation (NSF DMS-2227849) and Texas A&M...

Please share with non-statistician educators with potential interest in Bayes!

by Amy Herring | Jan 17, 2023 | News

Application for the Bayes BATS https://www.stat.uci.edu/bayes-bats/ program is now open at https://duke.qualtrics.com/jfe/form/SV_2sDimvyrSaeAl1A . BATS is a three-tiered program geared at STEM educators who would like to incorporate Bayesian thinking and methods into...

Sydney Mathematical Research Institute (SMRI) International Visitor Program: applications open

by SMRI | Dec 19, 2022 | News

Sydney Mathematical Research Institute
New South Wales, Australia

The ABS school is back! Bayesian Causal Inference in Firenze (June 12-16, 2023)

by elisa@mi.imati.cnr.it | Nov 14, 2022 | News

We are glad to inform you that the Applied Bayesian Statistics school is back! ABS23 will be held in Firenze on June, 12-16, 2023. The school is organised by CNR IMATI (Institute of Applied Mathematics and Information Technologies at the Italian National Research...

EnviBayes October Zoom Meeting: Haavard Rue

by Benjamin Shaby | Oct 3, 2022 | EnviBayes Meeting, News

I am happy to announce that the next speaker in the EnviBayes monthly webinar series is Haavard Rue from King Abdullah University of Science and Technology. The webinar will take place on Tuesday, October 18 at 3:00pm Eastern Time in the US (10:00pm local Jeddah...

Virtual short course on programming with hierarchical models with NIMBLE (including automatic differentiation) January 4-6

by paciorek@alumni.cmu.edu | Sep 12, 2022 | News

We’ll be holding a virtual short course, January 4-6, 2023 from 8 am to 1 pm US Pacific (California) time. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive...
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