The talk is part of the Learn Bayes 2025 series at Karolinska Institutet, and other speakers in the series include Paul Bürkner (his talk already happened, sorry), Frank Harrell (sorry, you missed his talk too), Aki Vehtari (who will be speaking on Bayesian workflow!), and lots of other interesting people.

My talk is Thurs 3 Apr, 8am NY time and 14:00 Sweden time:

It’s About Time

Statistical processes occur in time, but this is often not accounted for in the methods we use and the models we fit. Examples include imbalance in causal inference, generalization from A/B tests even when there is balance, sequential analysis, adjustment for pre-treatment measurements, poll aggregation, spatial and network models, chess ratings, sports analytics, and the replication crisis in science. The point of this talk is to motivate you to include time as a factor in your statistical analyses. This may change how you think about many applied problems!

I guess maybe you need to sign in to get the zoom link.

I presented some other version of this talk last year at the New York R conference, so if you really want you can watch that one first and then see if I say anything different this time.

Ideally you’ll come to this new talk prepared with tough questions.