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
Events
Apr 24 - Apr 30, 2022
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
Nov 21 - Nov 27, 2021
Nov 14 - Nov 20, 2021
Nov 7 - Nov 13, 2021
Oct 31 - Nov 6, 2021
Joint modeling of dependent diverse format data: A review from several case-studies
Giovani Silva, PhD in Mathematics (IST) at the University of Lisbon
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KAUST
Oct 24 - Oct 30, 2021
Oct 17 - Oct 23, 2021
Oct 10 - Oct 16, 2021
Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields
Prof. John Kornak, Biostatistics, University of California, San Francisco
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B4 B5 A0215
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
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KAUST
Oct 3 - Oct 9, 2021
Sep 26 - Oct 2, 2021
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
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KAUST
Sep 12 - Sep 18, 2021
Developing Aramco’s Next Generation Operational Systems for the Red Sea and the Arabian Gulf
Ibrahim Hoteit, Professor, Earth Science and Engineering
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KAUST
Sep 5 - Sep 11, 2021
Aug 29 - Sep 4, 2021
Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission
Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore
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KAUST
Aug 15 - Aug 21, 2021
Machine Learning in Healthcare: When Low Sample Size is not a Limitation
Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University
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KAUST
