
Learning Bayesian Statistics #80 Bayesian Additive Regression Trees (BARTs), with Sameer Deshpande
Apr 11, 2023
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
Introduction
00:00 • 2min
How to Be a Good Bayesian Statistician
02:01 • 2min
Samir's Path to Data World
04:13 • 2min
The Importance of Statistics in My Career
05:56 • 3min
How I Learned to Use Bayes in Statistics
09:14 • 3min
The Disadvantages of Teaching the Bayesian Framework
12:42 • 2min
The Importance of Subjectivity in Statistics
14:47 • 2min
The Epistemology of Probability
17:04 • 3min
How Sport Impacts Health
20:04 • 4min
How to Approximate Complex Functions Using Piecewise Constant Functions
23:35 • 3min
Bart's Non-Parametric Regression Model
26:29 • 2min
The Convergence Diagnostics of McMc Mixing
28:55 • 2min
How to Use Patient Regression Trees in Pimsy
31:01 • 4min
Bard's for Non-Parametric Regression
34:50 • 4min
The Gaussian Process in Random Regression Trees
38:54 • 2min
The Challenges of Walking With Bars
41:19 • 5min
The Limitations of Bart
46:34 • 3min
The Importance of Multiple Outcome Models
49:14 • 6min
The Importance of Using Longitudinal Data
54:50 • 2min
The Importance of Causal Inference
56:54 • 4min
The Future of Patient Stats
01:01:04 • 2min
How to Solve Approximation Error in Statistics
01:03:23 • 3min
How to Have Dinner With a Great Scientific Mind
01:05:54 • 3min
