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	Nov 18, 00:00 - Nov 20, 23:45, 2019 Statistics and Data Science Workshop (B2 B3 A0215)	Workshop
	Nov 27, 15:30 - 16:30, Asymptotically Exact Variational Bayes for High-Dimensional Probit Models (B1 L4 R4102), Prof. Daniele Durante, Department of Decision Sciences, Bocconi University, Italy	Bayesian approach to inference, decision sciences, Seminar
	Apr 6, 16:00 - 18:00, Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes (KAUST), Jian Cao, Ph.D., Statistics	Ph.D. Dissertation Defense
	Nov 2, 16:00 - 18:00, Computational and Statistical Advances in Spatio-Temporal Modeling: Causality, Deep Learning, and High-Performance Computing (B2, L5, R5209), Zipei Geng, Ph.D. Student, Statistics	causality and deep learning, high-performance computing, spatio-temporal modeling, Ph.D. Dissertation Defense
	Nov 12, 12:00 - 13:00, Deepnet Spectra and the Two Cultures of Data Science (B9 L2 H2 R2325), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	May 29, 15:30 - 16:30, Differentially private testing of symmetry equivalence hypotheses based on the characteristic function (B1 L4 R4102), Prof. Simos G. Meintanis, University of Athens	Differential privacy, Neighborhood of model validation, Symmetry testing, Seminar
	Nov 12, 15:30 - 16:30, Family of Mean-Mixtures of Multivariate Normal Distributions (B1 L4 R4102), Prof. Narayanaswamy Balakrishnan, Department of Mathematics and Statistics, McMaster University	Seminar
	Mar 12, 12:00 - 13:00, Functional data depth and its application in the visualization of spatio-temporal covariance structures (KAUST)	functional data analysis, Graduate Seminar, spatio-temporal statistics
	Sep 14, 12:00 - 13:00, Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function (B9 L2 H2), Maicon J. Karling, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Feb 24, 19:00 - Feb 25, 02:00, High Performance Statistical Computing (HPSC): Challenges and Best Practices (KAUST), Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science	applied statistics, big data, Conference
	Mar 31, 12:00 - 13:00, High-dimensional Q-learning for Dynamic Treatment Regimes (B3 L5 R5220), Prof. Rui Song, Department of Statistics, North Carolina State University	data analysis, HQ-learning, simulation, statistical inference, Seminar
	Jun 7, 17:00 - 19:00, Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields (KAUST), Mary Lai O. Salvana, Ph.D., Statistics	Ph.D. Dissertation Defense
	Nov 12, 12:30 - 14:30, Models and Inference for Non-Gaussian Random Vectors and Fields (B5 L5 R5209), Sagnik Mondal, Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Nov 7, 11:00 - 13:00, Multivariate Functional Data Analysis and Visualization (B3 L5 R5220), Zhuo Qu, Ph.D. Student, Statistics	functional data analysis, multivariate functional data, statistics, Ph.D. Dissertation Defense
	Oct 30, 14:30 - 16:30, On Computation and Robustness Issues in Spatial Statistics (B2, L5, R5220), Sihan Chen, Ph.D. Student, Statistics	computational methods, robust spatial inference, spatial statistics, Ph.D. Dissertation Defense
	Mar 1, 09:00 - 16:00, On The Coupling between HPC and Statistics: Challenges, Opportunities, and Future Trends of Emerging Techniques -- (Virtual SIAM CSE21 Minisymposium) (KAUST)	applied statistics, big data, Conference
	Nov 12, 15:00 - 16:00, Optimal Singular Value Thresholding in Correlated Noise (B19 Auditorium), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	Oct 26, 15:00 - 17:00, Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia (KAUST), Wanfang Chen, Ph.D., Statistics	Ph.D. Dissertation Defense
	Jun 1, 16:00 - 18:00, Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data (KAUST), Soumya Das, Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Jun 4, 10:00 - 11:00, Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence (B1 L4 R4102), Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA	Seminar
	May 1, 12:00 - 13:00, Sub-dimensional Mardia measures of multivariate skewness and kurtosis (B9 L3 R3128), Joydeep Chowdhury, Postdoctoral Research Fellow, Statistics	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
	Oct 4, 09:45 - Oct 6, 10:45, Workshop on Computational Space-Time Statistics (B1 L4 R4102)	Environmental Statistics, Statistics of extremes, Workshop