Event Content - (C)

First Letter

2 (2) | 5 (1) | A (18) | B (10) | C (17) | D (19) | E (25) | F (13) | G (7) | H (6) | I (6) | J (4) | K (1) | L (6) | M (17) | N (3) | O (12) | P (11) | Q (4) | R (10) | S (29) | T (17) | U (1) | V (1) | W (7)

	Apr 16, 16:00 - 16:30, Can neural ODEs forecast weather? (B1 L4 R 4102), Dr. Markus Heinonen, Academy Research Fellow, Aalto Univeristy, Finland	Seminar
	Apr 12, 17:00 - 18:00, Causal aggregation: estimation and inference of causal effects by aggregating information across data sets (KAUST), Prof. Dominik Rothenhaeusler, Statistics, Stanford University	Seminar
	Feb 16, 16:00 - 17:00, Causal reasoning in settings with competing events and truncation by death (B9 L2 R2322), Prof. Mats Julius Stensrud, Department of Mathematics, EPFL	Seminar
	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
	Mar 28, 12:00 - 13:00, Classification of time series in high dimensions (B9 L2 H2 H2), Sarbojit Roy, Postdoctoral Research Fellow, Statistics	Graduate 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	statistics, Seminar
	Feb 24, 12:00 - 13:00, Combined analysis of spatially misaligned data using Gaussian fields and the stochastic partial differential equation approach (B9 L2 H2)	Graduate Seminar
	Nov 11, 12:00 - 13:00, Compatibility conditions for finite element approximations (KAUST), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate 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	PhD Dissertation Defense
	Mar 19, 08:00 - Mar 21, 17:00, Computational and Statistical Interface to Big Data (B9 L2 H2), Xin Gao, Program Chair, Computer Science	Conference
	Jun 13, 09:00 - 10:00, Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking (B1 L4 R4102)	computational statistics, Environmental Statistics, PhD Dissertation Defense
	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
	Oct 1, 12:00 - 13:00, Consensus formation models with delay (KAUST), Jan Haskovec, AMCS, KAUST	Models Formation, Graduate Seminar
	Feb 27, 12:00 - 13:00, Controlling acoustic wave propagation via rotational motion (B9 L2 H2 H2), Ying Wu, Professor, Applied Mathematics and Computational Sciences	acoustic waves, Graduate Seminar
	Mar 7, 15:00 - 17:00, Coupled Sampling Methods for Filtering (KAUST), Fangyuan Yu, Ph.D. Student, Statistics	computational statistics, Markov models, Monte carlo methods, PhD Dissertation Defense
	May 28, 15:00 - 16:00, Criticism and robustification of latent Gaussian models (B1 L4 R4102), Rafael Medeiros Cabral, Ph.D. Student, Statistics	latent Gaussian models, PhD Dissertation Defense