Flatiron-wide Autumn Meeting: talks are now online

(this post is by Charles)

Every year, the Flatiron Institute hosts the FWAM meeting. From the website:

FWAM (“Flatiron-wide Autumn Meeting”, previously “Flatiron-wide Algorithms and Mathematics”) is a two-day internal conference with the goal of introducing and reviewing scientific and computational tools of broad and significant usefulness to Flatiron researchers across all centers of the institute.

These talks will more broadly appeal to researchers who work with computational methods. The Flatiron Institute has just released recordings of the presentations, available here!

This year, I was asked to give a talk on Markov chain Monte Carlo. I adapted material from the chapter Andrew Gelman and I recently wrote for the upcoming revised Handbook of MCMC (see preprint here). The title: “For how many iterations should we run MCMC?”

Here’s a sample of other talks I enjoyed:

• “Coding for Humans: Best practices for writing software people can read” (Jeff Soules)
• “Communicating Science using Visuals: Tips for Scientists” (Lucy Reading-Ikkanda)
•  “Testing Bayesian models and predictive inference in ML and statistics” (Bob Carpenter)
• “Fitting Hierarchical Bayesian Models with Selection Effects in Astronomy” (Will Farr)
• “Scaling and Generalizing Approximate Bayesian Inference” (David Blei)

And there are a lot more talks, which span a range of topics and will appeal to different audiences.