PhD Dissertation Defense | STSDS | Spatio-Temporal Statistics & Data Science

Models and Inference for Non-Gaussian Random Vectors and Fields

Sagnik Mondal

Sunday, November 12, 12:30

- 14:30

Building 5, Level 5, Room 5209

PhD Dissertation Defense

Multivariate Functional Data Analysis and Visualization

Zhuo Qu

Monday, November 07, 11:00

- 13:00

B3, L5, R5220

functional data analysis
multivariate functional data
statistics

PhD Dissertation Defense

Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields

Mary Lai O. Salvana

Monday, June 07, 17:00

- 19:00

KAUST

PhD Dissertation Defense

Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data

Soumya Das

Tuesday, June 01, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia

Wanfang Chen

Monday, October 26, 15:00

- 17:00

KAUST

PhD Dissertation Defense

Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes

Jian Cao

Monday, April 06, 16:00

- 18:00

KAUST

PhD Dissertation Defense

Models and Inference for Non-Gaussian Random Vectors and Fields

Multivariate Functional Data Analysis and Visualization

Lagrangian Spatio-Temporal Covariance Functions for Multivariate Nonstationary Random Fields

Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data

Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia

Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes

CEMSE - Computer, Electrical and Mathematical Sciences and Engineering Division

Biological and Environmental Sciences Engineering Division

Physical Science and Engineering Division

Study

Expanding Knowledge

Student Affairs

Living in KAUST

About KAUST

Latest from KAUST

STSDS Research Group