I would like to highlight two resources that, in my humble opinion as ISBA Social Media Manager, remain under-recognized yet immensely valuable:
ISBA Webinars on Bayesian Analysis Articles (2019–present).This webpage gathers an exceptional collection of webinars discussing Bayesian Analysis articles since 2019. For anyone curious about the frontiers of Bayesian statistics, this series brings together cutting-edge research from world-class experts. The talks span topics such as model uncertainty and missing data, new perspectives on stick-breaking models, sparse Bayesian factor analysis, and advances in causal inference under model mis-specification. Other contributions cover nonparametric priors, spatio-temporal modeling of Arctic sea ice, Bayesian regression trees for causal inference, and much more.The next BA webinar will focus on the paper “Model Uncertainty and Missing Data: An Objective Bayesian Perspective” by G. García-Donato, M. Eugenia Castellanos, S. Cabras, A. Quirós, and A. Forte. There will be four invited discussants: M. Clyde, M. Ferreira, A. Ly, and J. Rubio. It is scheduled for November 5, 2025 (4:00 PM UTC | 11:00 AM EST | 5:00 PM CET). Registration will be announced later on this webpage.ISBA YouTube Channel.All recorded webinar videos are available on the ISBA YouTube channel. Beyond the webinars, the channel hosts curated playlists from ISBA World Meetings (2012, 2016, 2018, 2021, 2022, 2024), specialized workshops and seminars (ABI, BNP, BayesComp), as well as content from ISBA Sections (j-ISBA, BNP, BioPharma, Industrial).These resources deserve broad visibility. I warmly encourage you to explore them, share them within your networks, and let us know your feedback.— Julyan, on behalf of the ISBA Social Media team
Archive for missing data
moralizing gods drive Nature rejection
Posted in Statistics with tags applied Bayesian analysis, logistic regression, missing data, moralizing gods, Nature, R, religions, retraction on August 29, 2021 by xi'an
a neat EM resolution
Posted in Books, Kids, Statistics, University life with tags cross validated, EM algorithm, final exam, maximum likelihood estimation, missing data, MLE, normal model on February 3, 2021 by xi'an
Read (and answered) this question on X validation about finding the maximum likelihood estimator of a 2×2 Gaussian covariance matrix when some observations are partly missing. The neat thing is that, in this case, the maximisation step is identical to the maximum likelihood estimation of the 2×2 Gaussian covariance matrix by redefining the empirical covariance matrix into Z and maximising
in Σ. Nothing involved but fun to explain, nonetheless. (In my final exam this year, no student even approached the EM questions!)
postdoc on missing data at École Polytechnique
Posted in Kids, pictures, R, Statistics, Travel, University life with tags École Polytechnique, Bayesian inference, CMAP, France, generalized SVD, latent variable models, matrix completion, missing data, Palaiseau, Paris, postdoctoral position, R on November 18, 2016 by xi'an
Julie Josse contacted me for advertising a postdoc position at École Polytechnique, in Palaiseau, south of Paris. “The fellowship is focusing on missing data. Interested graduates should apply as early as possible since the position will be filled when a suitable candidate is found. The Centre for Applied Mathematics (CMAP) is looking for highly motivated individuals able to develop a general multiple imputation method for multivariate continuous and categorical variables and its implementation in the free R software. The successful candidate will be part of research group in the statistical team on missing values. The postdoc will also have excellent opportunities to collaborate with researcher in public health with partners on the analysis of a large register from the Paris Hospital (APHP) to model the decisions and events when severe trauma patients are handled by emergency doctors. Candidates should contact Julie Josse at polytechnique.edu.”
MissData 2015 in Rennes [June 18-19]
Posted in R, Statistics, Travel, University life with tags Brittany, conference, France, missing data, Rennes, Roderick Little, TGV on February 9, 2015 by xi'an
This (early) summer, a conference on missing data will be organised in Rennes, Brittany, with the support of the French Statistical Society [SFDS]. (Check the website if interested, Rennes is a mere two hours from Paris by fast train.)
