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
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B9 L2 H2
Events
Oct 16 - Oct 22, 2022
Oct 9 - Oct 15, 2022
Oct 2 - Oct 8, 2022
Sep 25 - Oct 1, 2022
Sep 18 - Sep 24, 2022
Sep 11 - Sep 17, 2022
Sep 4 - Sep 10, 2022
Aug 28 - Sep 3, 2022
Jun 26 - Jul 2, 2022
Jun 5 - Jun 11, 2022
May 29 - Jun 4, 2022
Differentially private testing of symmetry equivalence hypotheses based on the characteristic function
Prof. Simos G. Meintanis, University of Athens
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B1 L4 R4102
Apr 24 - Apr 30, 2022
Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3
Prof. Raquel Prado, Department of Statistics, University of California
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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
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B1 L4 R3119
Spatio-Temporal Statistical Models Using Integro-Differential Equations
Prof. Bruno Sanso, Department of Statistics, University of California
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B1 L4 R4102
Dynamic linear models: Theory, computation and case studies - Lecture 1
Prof. Raquel Prado, Department of Statistics, University of California
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B1 L4 R4102
Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2
Yi Li, Professor, Biostatistics, University of Michigan
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B1 L4 R4102
Apr 17 - Apr 23, 2022
Gaussian Graphical Regression with High-Dimensional Responses and Covariates
Yi Li, Professor, Biostatistics, University of Michigan
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B2 B3 A0215
Enhancing mixing in binary fluids
Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST
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B9 L2 H2
Regularized Regression for Survival Data: Methods and Applications
Yi Li, Professor, Biostatistics, University of Michigan
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B1 L4 R4102
Apr 10 - Apr 16, 2022
Biomedical research: a world of statistical challenges
Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST
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B9 L2 H2
Apr 3 - Apr 9, 2022
Mar 27 - Apr 2, 2022
Mar 20 - Mar 26, 2022
Mar 13 - Mar 19, 2022
Mar 6 - Mar 12, 2022
Feb 27 - Mar 5, 2022
Feb 20 - Feb 26, 2022
Feb 13 - Feb 19, 2022
Feb 6 - Feb 12, 2022
Jan 30 - Feb 5, 2022
Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective
Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories
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KAUST
Jan 23 - Jan 29, 2022
Backward induction: from theory to empirics
Konrad Grabiszewski, Instructional Professor, Applied Mathematics and Computational Sciences
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KAUST
Dec 5 - Dec 11, 2021
Nov 28 - Dec 4, 2021
Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond
Jinyuan Liu, PhD Student, Biostatistics, University of California, USA
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KAUST
