Applied Spatio-temporal Statistics
Preface
1
Day 1 (January 20)
1.1
Welcome
1.2
Course pre-assessment
1.3
Course format
1.4
Reading
1.5
Opening example: Human movement
2
Day 2 (January 22)
2.1
Announcements
2.2
Opening example: Human movement
2.3
Statistical models
3
Day 3 (January 27)
3.1
Announcements
3.2
Statistical models
3.3
Matrix review
4
Day 4 (January 29)
4.1
Announcements
4.2
Distribution theory review
5
Day 5 (February 3)
5.1
Announcements
5.2
Distribution theory review
6
Day 6 (February 5)
6.1
Announcements
6.2
Distribution theory review
6.3
Mathematical model review
6.4
Summary of statistical models
6.4.1
Motivating data example
7
Day 7 (February 10)
7.1
Announcements
7.1.1
Motivating data example
7.2
Hierarchical models
8
Day 8 (February 12)
8.1
Announcements
8.2
Hierarchical models
9
Day 9 (February 17)
9.1
Announcements
9.2
Hierarchical models
10
Day 10 (February 19)
10.1
Announcements
10.2
Hierarchical models
10.3
Review and future direction
10.4
Extreme precipitation in Kansas
11
Day 11 (February 24)
11.1
Announcements
11.2
Extreme precipitation in Kansas
11.3
Intro to GIS
11.3.1
Shapefiles
11.3.2
Raster
11.3.3
Points
11.3.4
Summary
12
Day 12 (February 26)
12.1
Announcements
12.2
Extreme precipitation in Kansas
12.2.1
Multivariate normal distribution
12.3
Linear models for correlated errors
13
Day 13 (March 3)
13.1
Announcements
13.2
Extreme precipitation in Kansas
13.3
Linear models for correlated errors
13.4
Extreme precipitation in Kansas
14
Day 14 (March 5)
14.1
Announcements
15
Day 15 (March 10)
15.1
Announcements
15.2
Extreme precipitation in Kansas
15.3
Spatio-temporal models for disease data
16
Day 16 (March 12)
16.1
Announcements
16.2
Spatio-temporal models for disease data
17
Day 17 (March 24)
17.1
Announcements
18
Day 18 (March 26)
18.1
Announcements
18.2
Spatio-temporal models for disease data
18.3
Earthquake data
18.4
Spatio-temporal models for earthquake data
19
Day 19 (March 31)
19.1
Announcements
19.2
Spatio-temporal models for disease data
19.3
Earthquake data
19.4
Spatio-temporal models for earthquake data
20
Day 20 (April 2)
20.1
Announcements
21
Day 21 (April 7)
21.1
Announcements
21.2
Spatio-temporal models for disease data
21.3
Earthquake data
21.4
Spatio-temporal models for earthquake data
22
Day 22 (April 9)
22.1
Announcements
23
Day 23 (April 14)
23.1
Announcements
23.2
Spatio-temporal models for disease data
23.3
Earthquake data
23.4
Spatio-temporal models for earthquake data
24
Day 24 (April 16)
24.1
Announcements
25
Day 25 (April 21)
25.1
Announcements
26
Day 26 (April 23)
26.1
Announcements
26.2
Earthquake data
26.3
Spatio-temporal models for earthquake data
27
Day 27 (April 28)
27.1
Announcements
28
Day 28 (April 30)
28.1
Announcements
28.2
Mechanistic spatio-temporal models
29
Day 29 (May 5)
29.1
Announcements
29.2
Mechanistic spatio-temporal models
30
Day 30 (May 7)
30.1
Announcements
30.2
Mechanistic spatio-temporal models
31
Activity 1
32
Activity 2
33
Activity 3
34
Calendar
35
Final project
35.1
Assignment
35.2
Things to consider
35.3
Grading Rubric
35.4
Examples of projects from past classes
36
Peer review
37
Syllabus
Published with bookdown
Applied Spatio-temporal Statistics
25
Day 25 (April 21)
25.1
Announcements
Important stats seminar on Thursday (
link
)
Workday today