Event Content - (T)

First Letter

2 (2) | 5 (1) | A (17) | B (10) | C (17) | D (18) | E (24) | F (13) | G (7) | H (6) | I (6) | J (4) | K (1) | L (6) | M (17) | N (3) | O (11) | P (11) | Q (4) | R (8) | S (28) | T (16) | U (1) | V (1) | W (7)

	Mar 25, 12:00 - 13:00, The Convex Gaussian Min-Max Theorem: A Powerful Tool for the Analysis of Regularized Convex Optimization Problems (KAUST), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	Graduate Seminar
	Oct 31, 09:00 - Nov 3, 17:00, The KAUST 2022 Workshop on Statistics (B2 B3 A0215)	big data, complex data, data science, modeling, statistics, Workshop
	Nov 6, 09:00 - Nov 9, 17:00, The KAUST 2023 Workshop on Statistics (B18 R4203)	big data, data science, environment, health, modeling, statistics, sustainability, Workshop
	Nov 18, 09:00 - Nov 21, 17:00, The KAUST 2024 Workshop on Statistics (Auditorium between Building 4 - 5)	Workshop
	Mar 17, 12:00 - 13:00, The Maxwell-Stefan system for multi-component diffusion (B9 L2 H2), Athanasios Tzavaras, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 8, 15:00 - 16:00, The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics (B1 L4 R4102), Daniele Durante, Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University, Italy	bayesian inference, Seminar
	Apr 29, 12:00 - 13:00, The Role of Volcanic Activity in Climate and Global Change (KAUST), Georgiy L. Stenchikov, Professor, Earth Science and Engineering	Graduate Seminar
	May 14, 16:00 - 17:00, The strength of multidisciplinary research: the joint example of statistics and geoscience (B1 L4 R4102), Dr. Luigi Lombardo, University of Twente, Netherlands	spatial statistics, University of Twente, Seminar
	Sep 3, 12:00 - 13:00, The two faces of correlation (KAUST), Haavard Rue, Program Chair, Statistics	computing, Statistical Modeling, Graduate Seminar
	Jan 30, 14:00 - 15:00, Think globally, act locally: from domain decomposition to nonlinear model order reduction (KAUST Auditorium R2030), Prof. Charbel Farhat	Graduate Seminar
	Apr 27, 16:00 - 17:30, Time-domain and frequency-domain approaches for multiple and multivariate time series - Lecture 3 (B1 L4 R4102), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Apr 16, 16:30 - 17:00, Towards Self-explainable Deep Learning Models (B1 L4 R 4102), Prof. Michael Kampffmeyer, UiT The Arctic University of Norway	Seminar
	Mar 21, 12:00 - 13:00, Tracking rare events within the ensemble Kalman filtering (B9 L2 H2 H2), Gaukhar Shaimerdenova, Ph.D. Student, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 30, 16:30 - 17:30, Transparent and Robust Causal Inference in Data Science (KAUST), Carlos Cinelli, Ph.D. candidate, Department of Statistics, UCLA	data science, statistical inference, Seminar
	Apr 18, 12:00 - 13:00, Traveling wave solutions of Reaction-Diffusion equation in Biological mathematics (B9 L2 H2 H2), Hoyoun Kim, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Mar 14, 16:00 - 17:00, Truth, Knowledge, P-Values, Bayes, & Inductive Inference (B1 L4 R4102), Edsel A. Peña, iProfessor in the Department of Statistics, University of South Carolina	Bayesian computational statistics, inductive inference, statistics, Graduate Seminar