Events
Oct 1 - Oct 7, 2023
Sep 24 - Sep 30, 2023
Sep 17 - Sep 23, 2023
Sep 10 - Sep 16, 2023
Sep 3 - Sep 9, 2023
Aug 27 - Sep 2, 2023
Jun 4 - Jun 10, 2023
Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence
Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA
B1 L4 R4102
May 28 - Jun 3, 2023
May 7 - May 13, 2023
New Graphical Displays for Classification
Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium
B9 L2 H2
Detecting Cellwise Outliers in Your Data
Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium
B9 L2 H2
Apr 30 - May 6, 2023
Apr 2 - Apr 8, 2023
Mar 26 - Apr 1, 2023
Mar 12 - Mar 18, 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 11, 2023
Bayesian Deep Learning
Maurizio Filippone, Associate Professor, EURECOM, France
B9 L3 R3128
Feb 26 - Mar 4, 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 12 - Feb 18, 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 11, 2023
Jan 29 - Feb 4, 2023
Driving Innovation by Simulation
Dr. Emad Dlala, Vice President Powertrain, Lucid Motors Co.
B9 L3 R3128
Jan 1 - Jan 7, 2023
Dec 4 - Dec 10, 2022
Nov 27 - Dec 3, 2022
Nov 20 - Nov 26, 2022
Nov 13 - Nov 19, 2022
Nov 6 - Nov 12, 2022
Oct 30 - Nov 5, 2022
Oct 23 - Oct 29, 2022
Oct 16 - Oct 22, 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
