Events

May 16 - May 10, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, May. 14

Time Series Clustering: Pattern Recognition, Forecasting, and Amortized Inference

Ángel López Oriona, Postdoctoral Research Fellow, Statistics

May 14, 12:00 - 13:00

B9 R2325

Time Series Pattern Recognition forecasting statistical inference

May 2 - Apr 26, 2026

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 30

Event Status: Cancelled | Robust and Fuzzy Methods for High-Dimensional Time Series Clustering and Forecasting

Ziling Ma, Ph.D. Student, Statistics

Apr 30, 12:00 - 13:00

B9 R2325

Nov 15 - Nov 9, 2025

Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation

Qilong Pan, Ph.D. Student, Statistics

Nov 12, 09:00 - 11:00

B5 L5 R5209

statistics spatio-temporal statistics GPU Computing HPC

May 10 - May 4, 2025

Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation

Qilong Pan, Ph.D. Student, Statistics

May 8, 12:00 - 13:00

B9 L2 R2325

machine learning Geospatial Data GPU Computing

Jun 1 - May 26, 2024

Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes

Pratik Nag , Ph.D. Student, Statistics

May 29, 09:00 - 11:30

B4 L5 R5220

Mar 18 - Mar 12, 2023

On Inference About the Smoothness Parameter in Gaussian Matern Random Fields

Prof. Victor DeOliveira, Professor in Department of Management Science and Statistics in the Carlos Alvarez College of Business

Mar 15, 15:00 - 16:00

B1 L4 R4102

Nov 19 - Nov 13, 2022

Interval Prediction for Spatial Data Using Deep Learning Models

Ghulam Qadir, Posdoctoral fellow, Computational Statistics group at Heidelberg Institute for Theoretical Studies, Germany

Nov 17, 10:00 - 11:00

B1 L4 R4102

Jun 5 - May 30, 2021

Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields

Ghulam A. Qadir, Ph.D. Student, Statistics

May 31, 16:00 - 18:00

KAUST

Nov 14 - Nov 8, 2020

Quantile Function Modeling and Analysis for Multivariate Functional Data

Gaurav Agarwal, Ph.D., Statistics

Nov 9, 16:00 - 18:00

KAUST

Nov 7 - Nov 1, 2020

Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes

Yuxiao Li, Ph.D., Statistics

Nov 2, 16:00 - 18:00

KAUST

Nov 30 - Nov 24, 2019

Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model

Carolina D. Euan Campos, Postdoctoral Research Fellow, Statistics

Nov 28, 12:00 - 13:00

B9 H2 R2325

solar energy solar irradiance analysis nonlinearity TAR model statistical analysis forecasting

Nov 23 - Nov 17, 2019

2019 Statistics and Data Science Workshop

Nov 18, 00:00 - Nov 20, 23:45

B2 B3 A0215

Nov 9 - Nov 3, 2019

Mixed graphical-basis models for large nonstationary and multivariate spatial data problems

Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA

Nov 5, 14:00 - 15:00

B1 L4 R4102

multivariate spatial processes statistical climatology and statistics for energy sciences

Nov 17 - Nov 11, 2018

2018 Workshop on Statistics and Data Science

Nov 12, 08:30 - Nov 15, 17:00

Auditorium 0215 between Buildings 4 & 5

data science high dimensional statistics modeling biological processes physical processes

Jun 17 - Jun 11, 2017

Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking

Jun 13, 09:00 - 10:00

B1 L4 R4102

computational statistics Environmental Statistics

May 13 - May 7, 2017

Heteroscedastic BART Using Multiplicative Regression Trees

Matthew Pratola, Assistant Professor of Statistics, The Ohio State University

May 7, 16:00 - 17:00

B1 L4 R4102

Ohio State University Environmental Statistics

Mar 19 - Mar 13, 2016

Workshop on Statistical Process Monitoring and Risk Assessment for Engineering and Spatial Environmental Applications

Mar 13, 09:00 - Mar 15, 15:00

B1 L4 R4102

Environmental Statistics spatial statistics

Feb 13 - Feb 7, 2016

A Distributed Implementation of the Multi-resolution Approximation for Very Large Spatial Data

Dorit Hammerling, National Center for Atmospheric Research (NCAR)

Feb 10, 15:30 - 16:30

B1 L4 R4102

spatial statistics

Nov 14 - Nov 8, 2015

Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk

Xiaohui Chang, Assistant Professor, College of Business at Oregon State University

Nov 9, 15:30 - 16:00

B1 L4 R4102

statistics

Kriging Asymptotics

William Kleiber, Assistant Professor, University of Colorado

Nov 9, 15:00 - 16:30

B1 L4 R4102

spatial statistics

Oct 10 - Oct 4, 2015

Workshop on Computational Space-Time Statistics

Oct 4, 09:45 - Oct 6, 10:45

B1 L4 R4102

Statistics of extremes Environmental Statistics

Mar 14 - Mar 8, 2015

Collective Estimation of Multiple Bivariate Density Functions with Application to Angular-sampling-based Protein Structure Prediction

Mehdi Moodaaliat, Assistant Professor, Marquette University

Mar 10, 15:00 - 16:00

statistics

Nov 29 - Nov 23, 2014

Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling

Matthew Pratola, Assistant Professor of Statistics, The Ohio State University

Nov 24, 15:00 - 16:00

B1 L2

nonparametric statistics Bayesian Statistics

Sep 13 - Sep 7, 2014

Uncertainty Quantification of Tsunami Models

Serge Guillas, Professor of Statistics, University College London (UCL)

Sep 8, 15:00 - 16:00

uncertainty quantification Environmental Statistics