I posted a new video! It's the first in a series of videos that will explain the concept of "Degrees of Freedom" from statistics, in a way that actually makes sense.
I'm really excited about this one - check it out! https://t.co/e4o4Pj0zbJ
Whoa—my book is up for pre-order!
Model to meaning: How to interpret Statistical & ML Models in #RStats and #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
Note: The web version stays free forever.
https://t.co/fpDmSdDWov
I realize the world is burning, but here is the abstract of a talk I will give multiple times in different formats this month. With the feedback, I hope to write up something substantial on the theme in the remainder of the year.
Do you find the way statistics relates to scientific questions confusing and arbitrary? Do you like drawing owls? Then my free lectures are here for you
All course materials (slides, readings, code, data)
for Introduction to Urban Science (MIT Press, also in Chinese) are now freely available on Github: https://t.co/tUzaDveRR5
Make them your own and keep in touch!
Happy 2025!
OMG, I want to live in this article! Spiegehalter puts in words exactly how I approach probability: it doesn't exist as an objective measure, but it's still useful to pretend it does.
In a way, it feels like Calibrated Bayes, my favorite kind of Bayesian!
Our Introduction to Bayesian Data Analysis for Cognitive Science (with Nicenboim and Schad) is now in production with CRC Press. It will remain freely available here:
https://t.co/8ngMjfqH7D