Statistical models based on stochastic partial differential equations Done

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Project Description

The student will learn about modern statistical methods based on stochastic partial differential equations (SPDEs). One important advantage with formulating statistical models using SPDEs is that it facilitates non-Gaussian extensions of several popular Gaussian models. Such extensions are useful for applications where the data has features that cannot be captured by Gaussian models. The goal of the project is to implement and compare these models for applications to longitudinal medical data and spatial environmental data. KAUST

Program - BioScience
Division - PSE
Faculty Lab Link - -
Center Affiliation - KAUST Solar Center
Field of Study - -

Desired Project Deliverables

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RECOMMENDED STUDENT ACADEMIC & RESEARCH BACKGROUND

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Testing The System Performance In A Controlled Environment, Image
Testing The System Performance In A Controlled Environment, Image
Designing Singaling Schemes For Joint Communication And Localization, Image
Designing Singaling Schemes For Joint Communication And Localization, Image
System Implementation Using Matlab And/or Low Level Embedded System Programming, Image
System Implementation Using Matlab And/or Low Level Embedded System Programming, Image