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