Functional data analysis (FDA) involves the analysis of data whose ideal units of
observation are functions defined on some continuous domain, and the observed data …

Publisher Summary Mixture distributions comprise a finite or infinite number of components,
possibly of different distributional types, that can describe different features of data. The …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Searching for an effective dimension reduction space is an important problem in regression,
especially for high dimensional data. We propose an adaptive approach based on …

Recent years have seen an explosion of activity in the field of functional data analysis (FDA),
in which curves, spectra, images and so on are considered as basic functional data units. A …

Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development
of modern statistical theory in the past fifty years is reflected in the history of the late Sir …

Increasingly, scientific studies yield functional data, in which the ideal units of observation
are curves and the observed data consist of sets of curves that are sampled on a fine grid …

The aim of this paper is to present a nonparametric regression model with scalar response
when the explanatory variables are curves. In this context, the crucial problem of dimension …

Computer simulations are used to model of complex physical systems. Often, these models
represent the solutions (or at least approximations) to partial differential equations that are …

The elastic net procedure is a form of regularized optimization for linear regression that
provides a bridge between ridge regression and the lasso. The estimate that it produces can …