Learning Bayesian Statistics

#53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd Hudson

Dec 28, 2021
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1
Introduction
00:00 • 2min
2
How to B Good Gasy an Change Your Predictions After Taking Information
02:11 • 5min
3
What Drew You to Modeling?
06:59 • 5min
4
How Does Basin Stata Detection Work?
11:56 • 2min
5
Thes in Statistics - I Love It!
14:24 • 2min
6
How Do You Write a Patient Ataanalsis for Behavior Moral Sciences?
16:28 • 2min
7
Is There a Master's Degree in Psychology?
18:49 • 1min
8
How to Use Cyclic Data for Adaptation Research
20:19 • 6min
9
Do You Have Too Many Examples to Do a Course?
26:09 • 2min
10
How Do You Define a Measurement Algaritm?
28:24 • 3min
11
How to Compute a Model Comparison Arithm
31:35 • 3min
12
The Model Comparison Algorithm, Is Not Derived Directly From Base Theorem
34:42 • 2min
13
What Are the Man Skiles That You Try to Insteal in Readers Through Your Book?
36:39 • 5min
14
The Transition From the Transparent to the Complex
41:22 • 2min
15
What Are the Main Mistakes That Uniti Students Have When They Transition to a Patient's Det It?
42:59 • 2min
16
Is There a Mistake in the Model Comparison?
44:39 • 2min
17
Using Simulated Data to Understand What's Going On
47:02 • 2min
18
The Future of the Behavior of Noral Sciences
48:42 • 4min
19
If You Had Unlimited Time and Money, Which Problem Would You Try to Solve?
52:33 • 2min
20
Turning Patient Statistics
54:07 • 2min