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	Nov 12, 08:30 - Nov 15, 17:00, 2018 Workshop on Statistics and Data Science (Auditorium 0215 between Buildings 4 & 5)	biological processes, data science, high dimensional statistics, modeling, physical processes, Workshop
	Nov 18, 00:00 - Nov 20, 23:45, 2019 Statistics and Data Science Workshop (B2 B3 A0215)	Workshop
	Feb 10, 15:30 - 16:30, A Distributed Implementation of the Multi-resolution Approximation for Very Large Spatial Data (B1 L4 R4102), Dorit Hammerling, National Center for Atmospheric Research (NCAR)	Seminar, spatial statistics
	Nov 24, 15:00 - 16:00, Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling (B1 L2), Matthew Pratola, Assistant Professor of Statistics, The Ohio State University	Bayesian Statistics, nonparametric statistics, Seminar
	Mar 10, 15:00 - 16:00, Collective Estimation of Multiple Bivariate Density Functions with Application to Angular-sampling-based Protein Structure Prediction (B1), Mehdi Moodaaliat, Assistant Professor, Marquette University	Seminar, statistics
	Jun 13, 09:00 - 10:00, Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking (B1 L4 R4102)	computational statistics, Environmental Statistics, Ph.D. Dissertation Defense
	May 29, 09:00 - 11:30, Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes (B4 L5 R5220), Pratik Nag , Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Nov 9, 15:30 - 16:00, Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk (B1 L4 R4102), Xiaohui Chang, Assistant Professor, College of Business at Oregon State University	Seminar, statistics
	May 31, 16:00 - 18:00, Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields (KAUST), Ghulam A. Qadir, Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	May 7, 16:00 - 17:00, Heteroscedastic BART Using Multiplicative Regression Trees (B1 L4 R4102), Matthew Pratola, Assistant Professor of Statistics, The Ohio State University	Environmental Statistics, Ohio State University, Seminar
	Nov 17, 10:00 - 11:00, Interval Prediction for Spatial Data Using Deep Learning Models (B1 L4 R4102), Ghulam Qadir, Posdoctoral fellow, Computational Statistics group at Heidelberg Institute for Theoretical Studies, Germany	Seminar
	Nov 9, 15:00 - 16:30, Kriging Asymptotics (B1 L4 R4102), William Kleiber, Assistant Professor, University of Colorado	Seminar, spatial statistics
	Nov 5, 14:00 - 15:00, Mixed graphical-basis models for large nonstationary and multivariate spatial data problems (B1 L4 R4102), Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA	multivariate spatial processes, Seminar, statistical climatology and statistics for energy sciences
	Mar 15, 15:00 - 16:00, On Inference About the Smoothness Parameter in Gaussian Matern Random Fields (B1 L4 R4102), Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business	Seminar
	Nov 9, 16:00 - 18:00, Quantile Function Modeling and Analysis for Multivariate Functional Data (KAUST), Gaurav Agarwal, Ph.D., Statistics	Ph.D. Dissertation Defense
	Nov 2, 16:00 - 18:00, Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes (KAUST), Yuxiao Li, Ph.D., Statistics	Ph.D. Dissertation Defense
	Nov 28, 12:00 - 13:00, Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model (B9 H2 R2325), Carolina D. Euan Campos, Postdoctoral Research Fellow, Statistics	forecasting, Graduate Seminar, nonlinearity, solar energy, solar irradiance analysis, statistical analysis, TAR model
	Sep 8, 15:00 - 16:00, Uncertainty Quantification of Tsunami Models (B1), Serge Guillas, Professor of Statistics, University College London (UCL)	Environmental Statistics, Seminar, uncertainty quantification
	May 8, 12:00 - 13:00, Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation (B9 L2 R2325), Qilong Pan, Ph.D. Student, Statistics	Geospatial Data, GPU Computing, Graduate Seminar, machine learning
	Nov 12, 09:00 - 11:00, Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation (B5 L5 R5209), Qilong Pan, Ph.D. Student, Statistics	GPU Computing, HPC, Ph.D. Dissertation Defense, spatio-temporal statistics, statistics
	Oct 4, 09:45 - Oct 6, 10:45, Workshop on Computational Space-Time Statistics (B1 L4 R4102)	Environmental Statistics, Statistics of extremes, Workshop
	Mar 13, 09:00 - Mar 15, 15:00, Workshop on Statistical Process Monitoring and Risk Assessment for Engineering and Spatial Environmental Applications (B1 L4 R4102)	Environmental Statistics, spatial statistics, Workshop