A model-based approach to modern methods in data analysis. Comparison of statistical approaches including frequentist, likelihood, and Bayesian techniques. Methods for simulating data, estimating parameters for single variable models, constructing multivariate and hierarchical models, model comparison using information criteria, and model suitability using posterior predictive analysis.

No Prerequisites

4

Units

Optional

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Letters and science

College
PROULX S R
No info found

Lecture

NH 1111
M W
09:30 AM - 10:45 AM
11 / 16

Sections

PHELP1529
R
09:00 AM - 11:50 AM
5 / 8
PHELP1526
R
14:00 PM - 16:50 PM
6 / 8
EEMB 242
9 / 20 Enrolled
Marine Ecology and Conservation
Deron Burkepile 4.1
M W
10:00 AM - 11:50 AM
83.2% A
EEMB 250A
0 / 4 Enrolled
Microbial Diversity I
Alyson Santoro 5.0
T R
17:00 PM - 18:15 PM
66.7% A
EEMB 279
8 / 8 Full
Ecological Modeling
Holly Moeller 4.3
W F
11:00 AM - 12:15 PM
93.1% A
EEMB 285
0 / 4 Enrolled
Field Work in Oceanography
Craig Carlson 4.1
EEMB 288RE
1 / 4 Enrolled
Restoration Ecology Seminar
Stratton E C
M
18:00 PM - 18:50 PM
100.0% A
EEMB 290
10 / 30 Enrolled
Introduction to Faculty Research
Hillary Young 2.9 Hillary Young 2.8
T R
11:00 AM - 11:50 AM