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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
	Apr 26, 15:00 - 18:00, Almost everything you always wanted to know about NONLINEAR STATE SPACE MODELS (but were afraid to ask) (B1 L4 R4102), Prof, David Stoffer, University of Pittsburgh, Pennsylvania, USA	linear guassian model, Numerical Optimization, university of pittsburgh, Tutorial
	Oct 14, 16:30 - 17:45, Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields (B4 B5 A0215), Prof. John Kornak, Biostatistics, University of California, San Francisco	bayesian analysis, Seminar
	Jan 5, 17:00 - 19:00, Bayesian Non-parametric Models for Time Series Decomposition (B1 R4214), Guillermo C. Granados Garcia, Ph.D. Student, Statistics	spectral density function, Ph.D. Dissertation Defense
	Nov 24, 09:00 - 10:00, BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data (KAUST), Meini Tang, M.S. Student, Statistics	Thesis Defense
	Apr 2, 12:00 - 13:00, Classification of Functional Data by Detecting the Discrepancy of Second Moment Structure of Scaled functions (KAUST), Shuhao Jiao, Postdoctoral Research Fellow, Statistics	Functional data, Graduate Seminar
	Feb 12, 16:00 - 17:30, Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health (B1 L4 R4102), Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy	nonparametric estimation, Seminar
	Apr 26, 14:00 - 15:30, Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2 (B1 L4 R3119), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Apr 25, 16:00 - 17:30, Dynamic linear models: Theory, computation and case studies - Lecture 1 (B1 L4 R4102), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Apr 25, 16:00 - 17:00, Forecasting Multiple Time Series with One-Sided Dynamic Principal Components (B1 L4 R4102), Prof. Daniel Peña Sánchez de Rivera, Department of Statistics, Universidad Carlos III de Madrid	big data, Time Series, Seminar
	Apr 21, 16:30 - 17:30, Gaussian Graphical Regression with High-Dimensional Responses and Covariates (B2 B3 A0215), Yi Li, Professor, Biostatistics, University of Michigan	Seminar
	Feb 5, 12:00 - 13:00, Geospatial Data Science for Public Health Surveillance - Seminar (B9 L2 H2), Paula Moraga, Lecturer, Department of Mathematical Sciences, University of Bath, UK	Geospatial Data, Public Health, Seminar
	Apr 23, 16:00 - 17:00, Inference for Spatial Trends (B1 L4 R4102), Professor Ngai Hang Chan, Professor of Statistics, Chinese University of Hong Kong	Seminar
	Apr 24, 16:00 - 18:00, Model Survival Data with high and ultrahigh dimensional predictors: feature screening and statistical inference - Lecture 2 (B1 L4 R4102), Yi Li, Professor, Biostatistics, University of Michigan	Lecture
	Apr 4, 16:00 - 19:00, Modeling and Inference for Multivariate Time Series, with Applications to Integer-Valued Processes and Nonstationary Extreme Data (B4 L5 R5220), Matheus B. Guerrero, Ph.D. Student, Statistics	autoregressive processes, integer-valued data, multivariate nonstationary extreme data, statistical methods, Ph.D. Dissertation Defense
	Apr 26, 16:30 - 17:30, Non-Gaussian geostatistical models using nearest neighbors processes (B2 B3 A0215), Prof. Bruno Sanso, Department of Statistics, University of California	Seminar
	Sep 21, 12:00 - 13:00, Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data (B9 L2 H2), Iris Ivy Gauran, Postdoctoral Research Fellow, Biostatistics Group	Graduate Seminar
	Apr 28, 16:30 - 17:30, Recent approaches for flexible and efficient analysis of non-stationary time series (B2 B3 A0215), Prof. Raquel Prado, Department of Statistics, University of California	Seminar
	Apr 19, 16:00 - 18:00, Regularized Regression for Survival Data: Methods and Applications (B1 L4 R4102), Yi Li, Professor, Biostatistics, University of Michigan	Lecture
	Apr 30, 12:00 - 13:00, Robust and Fuzzy Methods for High-Dimensional Time Series Clustering and Forecasting (B9 R2325), Ziling Ma, Ph.D. Student, Statistics	Graduate Seminar
	Nov 28, 08:30 - 09:30, Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond (KAUST), Jinyuan Liu, PhD Student, Biostatistics, University of California, USA	Seminar
	Apr 25, 17:45 - 19:00, Spatio-Temporal Statistical Models Using Integro-Differential Equations (B1 L4 R4102), Prof. Bruno Sanso, Department of Statistics, University of California	Lecture
	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