Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Introduction
00:00 • 2min
LearnBaseDads Stats - Bob Carpenter
01:40 • 3min
How Do You Define the Work You're Doing Today?
04:48 • 6min
How Did You Become Into Bayesian Machine Learning?
10:21 • 5min
I'd Sit in on Andrew's Classes
15:12 • 2min
Andrew, Is It in the Show Notes?
17:11 • 2min
How to Design a Modeling Language for LME4
19:34 • 2min
The Biggest Bottleneck for Programming Languages
21:43 • 4min
The Worst Part of Slick Stan?
25:57 • 2min
Getting the First Version of Zygote Out to the World
28:12 • 2min
Open Source - It's a Delicate Operation
30:27 • 4min
The Biggest Difficulties With Stan
34:05 • 5min
The Cross-Platforms Problem
39:31 • 2min
The Biggest Hiccups in the Bayesian Work
41:32 • 5min
Encapsulating Hierarchical Priors in Python Functions Is Super Useful
46:54 • 2min
Using BEMB in Python and PMC Modeling
48:27 • 2min
The Future of Patient's Death
50:53 • 3min
The Inlet Team, I'll Send You an Introduction.
53:57 • 4min
Bayesian Modeling and Counterfactual Analysis
57:38 • 2min
Are There Any Mistakes to Make When Learning Base and Statistics?
01:00:03 • 3min
What Do You Want to Learn About Normalizing Flows?
01:03:11 • 3min
Then I Want to Solve Metaphor for the Word on for 20 Years
01:06:10 • 1min
What's Your Favorite Philosopher of Language?
01:07:39 • 2min
Earning Patient Stats - Part 2
01:09:16 • 2min


