Applied Bayesian Modeling and Prediction
Preface
1 Day 1 (January 17)
2 Day 2 (January 19)
- 2.1 Announcements
- 2.2 Intro to Bayesian statistical modelling
3 Day 3 (January 24)
- 3.1 Announcements
- 3.2 Intro to Bayesian statistical modelling
4 Day 4 (January 26)
5 Day 5 (January 31)
- 5.1 Announcements
- 5.2 Introduction to Metropolis-Hastings algorithm
6 Day 6 (February 2)
7 Day 7 (February 7)
8 Day 8 (February 9)
9 Day 9 (February 14)
- 9.1 Announcements
- 9.2 Our second statistical model
10 Day 10 (February 21)
- 10.1 Announcements
- 10.2 Our second statistical model
11 Day 11 (February 23)
- 11.1 Announcements
- 11.2 The Bayesian Linear Model
12 Day 12 (February 28)
13 Day 13 (March 2)
- 13.1 Announcements
14 Day 14 (March 9)
- 14.1 Announcements
- 14.2 Bayesian Prediction
15 Day 15 (March 20)
- 15.1 Announcements
- 15.2 Review
16 Day 16 (March 23)
17 Day 17 (March 28)
- 17.1 Announcements
- 17.2 Bayesian Kriging
18 Day 18 (March 30)
- 18.1 Announcements
- 18.2 Time series
19 Day 19 (April 6)
20 Day 20 (April 11)
- 20.1 Announcements
- 20.2 Spatio-temporal
21 Day 21 (April 18)
- 21.1 Announcements
- 21.2 Data fusion
22 Day 22 (April 25)
- 22.1 Announcements
- 22.2 Model selection/comparison
23 Day 23 (April 27)
24 Assignment 1
25 Assignment 2
26 Assignment 3
27 Assignment 3 (Guide)
28 Assignment 4
29 Assignment 5
30 Assignment 6
31 Assignment 7
32 Final project
- 32.1 Grading Rubric
33 Peer review
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Applied Bayesian Modeling and Prediction

13 Day 13 (March 2)

13.1 Announcements

Assignment 6 is due today
Next week is spatial models
- Read Ch. 17
We spent most of the day going over Assignment 6