
Learning Bayesian Statistics #73 A Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica Hullman
4 snips
Dec 23, 2022 Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Introduction
00:00 • 4min
How Did You Come to the Stats in Undergrad?
03:50 • 4min
Data Comics
07:41 • 2min
What Are Your Interests in Visualization of Uncertainty?
09:36 • 2min
Visualization Research
11:42 • 4min
What Do Visualizations Do?
15:51 • 2min
How Did You Get Into Bayesian Stats?
18:09 • 4min
Using Bayesian Models of Cognition to Understand People's Bias
21:54 • 5min
How Many Ratings Are There?
26:34 • 3min
How to Combine Expert Decisions With Restaurant Reviews
29:37 • 2min
Is There a Meaningful Way of Even Measuring Bias?
31:22 • 3min
The Non-Belief in the Law of Large Numbers
34:12 • 3min
Using Visualizations to Improve Decision Theoretic Style Experiments
37:08 • 3min
Bayesian Models of Bias
40:33 • 3min
Are There Any Studies Around Probabilistic Thinking in Electoral Coverage?
43:53 • 4min
Is It Sufficient to Ignore Uncertainty?
48:15 • 2min
Would You Re-Engineer People?
50:19 • 2min
The Importance of Uncertainty
52:23 • 2min
The Final Question Is if You Had Unlimited Time and Resources Which Problem Would You Try to Solve?
54:32 • 4min
Earning Patient Stats - Episode 5
58:32 • 2min
