Learning Bayesian Statistics

#14 Hidden Markov Models & Statistical Ecology, with Vianey Leos-Barajas

Apr 22, 2020
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1
Introduction
00:00 • 2min
2
I've Always Been a Sharks Guy, Right?
02:08 • 2min
3
How Did You Find Sharks So Fascinating?
03:52 • 2min
4
What's Your Favorite Programming Language for Galapagos Sharks Data?
05:58 • 2min
5
What Are the Benefits of Bayesian Methods?
07:47 • 2min
6
What's the State of Bayesian Statistics in Marine Biology?
09:26 • 2min
7
Quantifying Uncertainty With Probability
11:35 • 3min
8
How to Estimate Unidentifiable Parameters in Your Models?
14:28 • 2min
9
Statistical Ecology - What's Your Focus?
16:50 • 3min
10
Hidden Markoff Models Can Give You Multimodal Posterials
19:49 • 2min
11
Is There a Problem With Hidden Markoff Models?
21:54 • 3min
12
How to Select the Number of States?
24:31 • 4min
13
Are You Using Stan to Fit Hidden Markov Models?
28:13 • 4min
14
Is HMD Easier and Faster in Stan?
31:44 • 2min
15
What Are the Most Common Difficulties in Your Models?
33:50 • 2min
16
Staying Motivated Throughout the Process
35:57 • 2min
17
Do Sheep Move as Much as Sharks?
38:00 • 2min
18
Is It Easy to Fit the Hidden States of This Shark?
39:32 • 2min
19
Is It a Latin Art Conference or a Conference?
41:23 • 2min
20
Building a Community Page for Bayesian Inference
43:32 • 2min
21
If You Had Unlimited Time and Resources, Which Problem Would You Try to Solve?
45:04 • 2min
22
LearnBays Stats - Part 2
47:06 • 2min