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
Sikya, You Can Be Anything You Can Do Anything
01:32 • 2min
When Do You Make Your Great Achievements?
03:48 • 2min
Angus Fisher's Maximism
05:20 • 2min
What Is the Best Fitting Model?
07:02 • 2min
Maximum Probability Estimates - What Are They?
08:36 • 2min
Aximum Probability - The Flipping of Things on Its Head
10:51 • 2min
How Do We Translate This Into the Maximum Probability World?
13:03 • 2min
How to Calculate the Probability of a Curve
14:34 • 2min
How to Multiply a Curve Over a Number Line
16:38 • 3min
Using a Different Criterion for Estimation of the Sample Mean
19:19 • 2min
How to Maximize the Log of the Probability Expression
21:43 • 3min
Why People Hate Us
24:28 • 2min
The Circus Tent
26:20 • 3min
How to Find the Lowest Point in a Valley at Night
29:40 • 4min
How to Estimate the Variability of a Parabola
33:34 • 5min
The Normal Normal Curve
38:23 • 3min
Perameter Estimates - Unbiasedness, Consistency and Efficiency
41:10 • 2min
I Love Model Comparisons
43:00 • 2min
The Calvin Ball Rules That Fisher Comes Up With
45:05 • 2min
Maximum Probability Is a Work Horse, Right?
47:25 • 2min
Maximum Probability Is a Work Horse
48:58 • 4min
Quantitude - The New Normal
53:25 • 2min