Events
Apr 30 - May 7, 2023
Apr 2 - Apr 9, 2023
Mar 26 - Apr 2, 2023
Mar 12 - Mar 19, 2023
On Inference About the Smoothness Parameter in Gaussian Matern Random Fields
Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business
B1 L4 R4102
Mar 5 - Mar 12, 2023
Bayesian Deep Learning
Maurizio Filippone, Associate Professor, EURECOM, France
B9 L3 R3128
Feb 26 - Mar 5, 2023
Extremes of stationary time-series - 2023-02-09
Prof. Ioannis Papastathopoulos, Lecturer in Statistics, University of Edinburgh
B1 L4 R4102
Extremes of stationary time-series - 2023-02-27
Prof. Ioannis Papastathopoulos, Lecturer in Statistics, University of Edinburgh
B1 L4 R4102
Feb 5 - Feb 19, 2023
Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health
Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy
B1 L4 R4102
Feb 5 - Feb 12, 2023
Jan 29 - Feb 5, 2023
Driving Innovation by Simulation
Dr. Emad Dlala, Vice President Powertrain, Lucid Motors Co.
B9 L3 R3128
Jan 1 - Jan 8, 2023
Dec 4 - Dec 11, 2022
Nov 27 - Dec 4, 2022
Nov 20 - Nov 27, 2022
Nov 13 - Nov 20, 2022
Nov 6 - Nov 13, 2022
Oct 30 - Nov 6, 2022
Oct 23 - Oct 30, 2022
Oct 16 - Oct 23, 2022
Inference for Longitudinal Data After Adaptive Sampling
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
B9 L2 H2
We used Reinforcement Learning; but did it work?
Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
B9 L2 H2
Oct 9 - Oct 16, 2022
Oct 2 - Oct 9, 2022
Sep 25 - Oct 2, 2022
Sep 18 - Sep 25, 2022
Sep 11 - Sep 18, 2022
Sep 4 - Sep 11, 2022
Aug 28 - Sep 4, 2022
Jun 26 - Jul 3, 2022
Jun 5 - Jun 12, 2022
May 22 - Jun 5, 2022
Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
B1 L4 R4102
Apr 24 - May 1, 2022
Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R4102
Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R3119
Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
B1 L4 R4102
Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
B1 L4 R4102
Apr 17 - May 1, 2022
Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2
Yi Li, Professor, Biostatistics, University of Michigan
B1 L4 R4102
Apr 17 - Apr 24, 2022
Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
B2 B3 A0215
Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
B9 L2 H2
Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
B1 L4 R4102