Course | Number | Instructor | Time | Room |
Introduction to Statistics |
101a-106a/501a-506a |
Jonathan Reuning-Scherer and Staff |
Tues, Thurs 1:00-2:15 |
SSS 114 |
Probability and Statistics |
238a/538a |
Joe Chang |
Tues, Thurs 1:00-2:15 |
ML 211 |
Probability Theory with Applications |
241a/541a/MATH 241a |
Harrison Zhou |
Mon, Wed, Fri 9:25-10:15 |
WLH 208 |
Linear Models |
312a/612a |
Taylor Arnold |
Mon, Wed 11:35-12:50 |
WTS A60 |
Statistical Case Studies |
325a/625a |
John Emerson |
Tues, Thurs 9:00-10:15 + 1 HTBA |
17 Hillhouse, TEAL |
Data Analysis |
361a/661a |
Jessi Cisewski |
Mon, Wed 2:30-3:45 |
ML 211 |
Statistical Inference |
610a |
Harrison Zhou |
Tues, Thurs 10:30-11:45 |
24 Hillhouse Rm 107 |
Topics in Bayesian Inference and Data Analysis |
654a |
Joe Chang |
Wed 4:00-6:30 (tentatively) |
24 Hillhouse Rm 107 |
High-Dimensional Function Estimation |
682a |
Andrew Barron |
Mon, Wed 9:00-10:15 |
24 Hillhouse Room 107 |
Individual Studies |
480ab |
Staff |
- |
- |
Statistical Consulting |
627ab |
John Emerson |
Fri 2:30-4:30 |
24 Hillhouse Rm 107 |
Independent Study or Topics Course |
690ab |
DGS |
- |
- |
Research Seminar in Probability |
699ab |
Sekhar Tatikonda and David Pollard |
Fri 11:00-1:00 |
24 Hillhouse Rm 107 |
Departmental Seminar |
700ab |
- |
Mon 4:15-5:30 |
24 Hillhouse Rm 107 |
Introductory Statistics |
100b/500b |
Jessi Cisewski |
Mon, Wed, Fri 10:30-11:20 |
ML 211 |
Introductory Data Analysis |
230b/530b/PLSC 530b |
John Emerson |
Tues, Thurs 9:00-10:15 |
DL 220 |
Theory of Statistics |
242b/542b |
Andrew Barron |
Mon, Wed, Fri 9:25-10:15 |
ML 211 |
Stochastic Processes |
251b/551b |
Amin Karbasi |
Mon, Wed 1:00-2:15 |
WLH 116 |
Advanced Probability |
330b/600b/MATH 330b |
David Pollard |
Tues, Thurs 2:30-3:45 |
24 Hillhouse Rm 107 |
Multivariate Statistics for Social Sciences |
363b/660b |
Jonathan Reuning-Scherer |
Tues, Thurs 1:00-2:15 |
Burke Auditorium / Kroon Hall |
Information Theory |
364b/664b |
Andrew Barron |
Tues, Thurs 9:00-10:15 |
24 Hillhouse Rm 107 |
Data Mining and Machine Learning |
365b/665b |
Taylor Arnold |
Mon, Wed 2:30-3:45 |
DL 220 |
Asymptotics |
618b |
David Pollard |
Tuesday 10:30-12:00 + 1 HTBA (tentative) |
24 Hillhouse basement |
Practical Work |
626b |
John Emerson |
- |
- |
Applied Spatial Statistics |
674b/F&ES 781b |
Timothy Gregoire and Jonathan Reuning-Scherer |
Tues, Thurs 10:30-11:50 |
Marsh Hall Rotunda, 360 Prospect St |
Statistical Computing |
662a |
- |
not taught this year | - |
Probabilistic Networks, Algorithms, and Applications |
667a |
- |
not taught this year | - |
Senior Seminar and Project |
490b |
- |
not taught this year | - |
Empirical Processes |
609b |
- |
not taught this year | - |
Decision Theory |
611b |
- |
not taught this year | - |
Experimental Design |
613b |
- |
not taught this year | - |
Statistical Methods in Genetics and Bioinformatics |
645b |
- |
not taught this year | - |