Wednesday Nov 18

• Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang   Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

• Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis)   Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

• Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis)   Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

• Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen   Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

• Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley)   The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

• Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley)   The importance of scale for spatial-confounding bias and precision of spatial regression estimators