My doctoral research dissertation focuses on two aspects of functional data analysis (FDA): FDA under spatial … functional data under spatial dependence. The methodology introduced in this part is motivated by a research study on inequities … multilevel functional data including a clustering method based on a functional ANOVA model and a spatio-temporal model for …

multivariate bioequivalence test to functional data,which can also be considered as high dimensional multivariate data. We develop …

Functional data are difficult to manage for many traditional statistical techniques given their very high (or … intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are … representations of functional data. The key idea is to consider each functional curve as a point in a general function space and then …

functional variable, it is natural to focus on functional data analysis. Both parametric and non-parametric modeling strategies …

A popular approach for classifying functional data is based on the distances from the function or its derivatives to …