Course | Number | Instructor | Time |
Introduction to Statistics | 101a-106a/501a-506a | Jonathan Reuning-Scherer and Staff | Tues, Thurs 1:00 - 2:15 |
Probability and Statistics for Scientists | 238a/538a | Joseph Chang | Mon, Wed, Fri 2:30-3:20 |
Probability Theory with Applications | 241a/541a/MATH 241a | Balaji Raman | Mon, Wed, Fri 9:25 - 10:15 |
Theory of Statistics | 542a | Andrew Barron | Mon, Wed, 1:00 - 2:15 |
Linear Models | 312a/612a | Balaji Raman | Tues, Thurs 9:00-10:15 |
Data analysis | 361a/661a | John Emerson | Mon, Wed 2:30 - 3:45 |
Applied Math Senior Seminar and Project | AM490a | Andrew Barron | Wed, 3:30 - 5:20 |
Statistical Inference | 610a | Mokshay Madiman | Tues, Thurs 10:30-11:45 |
Statistical Case Studies | 625a | Jay Emerson | Mon 11:00 - 12:15; Fri 10:30 - 1:00 pm |
Probabilistic Networks, Algorithms, and Applications | 667a | Sekhar Tatikonda | Tues, Thurs 1:00-2:15 |
Nonparametric Statistics | 680a | Harrison Zhou | Thurs, 3:30 - 5:30 |
Statistical Consulting | 627ab | Jay Emerson (Fall); John Hartigan (Spring) | Friday 2:30 - 4:30 |
Independent Study | 690ab | Staff | - |
Internship in Statistical Research | 695ab | Andrew Barron | - |
Research Seminar in Statistics | 699ab | Sekhar Tatikonda and David Pollard | Friday 10:30- 12:30 |
Departmental Seminar | 700ab | - | Monday 4:15 - 5:30 |
Introductory Statistics
| 100b/500b |
Balaji Raman
|
Mon, Wed, Fri 10:30-11:20
|
Introductory Data Analysis | 230b/530a/PLSC 530b | Jonathan Reuning-Scherer | Tues, Thurs 2:30 - 3:45 |
Theory of Statistics | 242b/542b | Mokshay Madiman | Mon, Wed, Fri 9:25 - 10:15 |
Stochastic Processes | 251b/551b | Balaji Raman | Mon, Wed 1:00 - 2:15 |
Advanced Probability | 330b/600b | David Pollard | Tues, Thurs 2:30 - 3:45 |
Multivariate Statistics for Social Sciences | 363b/660b | Jonathan Reuning-Scherer | Tues, Thurs 1:00 - 2:15 |
Information theory | 364b/664b | Mokshay Madiman | Tues, Thurs 9:00 - 10:15 |
Data Mining and Machine Learning | 365b/665b | Harrison Zhou | Mon, Wed 11:35 - 12:50 |
Advanced Stochastic Processes | 603b | David Pollard | Mon, Wed 2:30-3:45 |
Practical Work | 626b | David Pollard | TBA |
Portfolio Estimation for Compounding Wealth | 678b | Andrew Barron | Tues, Thurs 10:30 - 11:45 |
Real-World Statistics | 128b | | not taught this year |
Optimization and Convexity | AMTH 237a/AMTH 537a | | not taught this year |
Experimental Design | 313b | | not taught this year |
Statistics Senior Seminar Project | 490b | David Pollard | |
Asymptotics | 618a | | not taught this year |
Statistical Decision Theory in Modern Statistical Methodology | 619b | | not taught this year |
Deterministic and Stochastic Optimization | 637a | | not taught this year |
Statistical Methods in Genetics and Bioinformatics | 645b | | not taught this year |
Statistical Computing | 662a | | not taught this year |
Functional Data Analysis | 673a | | not taught this year |
Unsupervised Learning: Dimension Reduction and Clustering Analysis | 675b | | not taught this year |