Course |
Number |
Instructor |
Time |
Statistical Consulting |
627ab |
Jay Emerson, Lisha Chen |
Friday 2:30 - 4:30 |
Introduction to Statistics |
101a-106a |
Jonathan Reuning-Scherer and staff |
Tues, Thurs 1:00 - 2:15 |
Statistics as a Way of Knowing |
129a |
Nelson Donegan |
Tues, Thurs 11:35 - 12:50 |
Probability and Statistics for Scientists |
238a/538a |
Joseph Chang |
Mon, Wed, Fri 2:30-3:20 |
Probability Theory with Applications |
241a/541a |
Harrison Zhou |
Mon, Wed, Fri 9:25 - 10:15 |
Linear Models |
312a/612a |
David Pollard |
Tues, Thurs 9:00-10:15 |
Data analysis |
361a/661a |
Lisha Chen |
Mon, Wed 2:30 - 3:45 |
Statistical Inference |
610a |
Hannes Leeb |
Tues, Thurs 10:30-11:45 |
Statistical Case Studies |
625a |
David Pollard |
TBA |
Deterministic and Stochastic Optimization |
637a |
Mokshay Madiman |
TBA |
Functional Data Analysis |
673a |
Harrison Zhou |
TBA |
Introductory Statistics
|
100b/500b |
Jay Emerson
|
Mon, Wed, Fri 10:30 - 11:20
|
Introductory Data Analysis |
230b/530b |
Hannes Leeb |
Mon, Wed 2:30 - 3:45 |
Theory of Statistics |
242b/542b |
Mokshay Madiman |
Mon, Wed, Fri 9:25 - 10:15 |
Stochastic Processes |
251b/551b |
Joseph Chang |
Mon, Wed 1:00 - 2:15 |
Information theory |
364b/664b |
Andrew Barron |
Tues, Thurs 9:00 - 10:15 |
Data Mining and Machine Learning |
365b/665b |
Lisha Chen |
Mon, Wed 11:35 - 12:50 |
Applied Math Senior Seminar and Project |
AM490b |
Andrew Barron |
TBA |
Advanced Probability |
600b/330b |
David Pollard |
Tues, Thurs 2:30 - 3:45 |
Random Matrices in Statistics |
617b |
Hannes Leeb |
TBA |
Practical Work |
626b |
Jay Emerson |
TBA |
Statistical Methods in Genetics and Bioinformatics |
645b |
Joseph Chang |
Tues, Thurs 1:00-2:30 |
Multivariate Statistics for Social Sciences |
660b |
Jonathan Reuning-Scherer |
Tues, Thurs 1:00 - 2:15 |
Independent Study |
690ab |
Staff |
- |
Internship in Statistical Research |
695ab |
Jay Emerson |
- |
Research Seminar in Statistics |
699ab |
Sekhar Tatikonda and David Pollard |
Wed 11:30 - 1:30 |
Departmental Seminar |
700ab |
- |
Monday 4:15 - 5:30 |
Optimization and Convexity |
237a |
|
not taught this year |
Probability Coupling |
602b |
|
not taught this year |
Stochastic Calculus |
603a |
- |
not taught this year |
Markov Processes and Random Fields |
606b |
- |
not taught this year |
Inequalities for Probability and Statistics |
607b |
- |
not taught this year |
Statistical Decision Theory |
619b |
|
not taught this year |
Monte Carlo Methods |
636a |
- |
not taught this year |
Bayes Theory |
653a |
- |
not taught this year |
Topics in Bayesian Inference and Data Analysis |
654a |
|
not taught this year |
Probabilistic Networks, Algorithms, and Applications. |
667a |
|
not taught this year |
Information and Probability |
668a |
- |
not taught this year |
Information and Statistics |
669a |
|
not taught this year |
Analysis of Spatial and Time Series Data |
674a |
- |
not taught this year |
Nonparametric Statistics |
680b |
- |
not taught this year |