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Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
book

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

by Tailen Hsing, Randall Eubank
May 2015
Intermediate to advanced
384 pages
9h 20m
English
Wiley
Content preview from Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Chapter 1Introduction

Briefly stated, a stochastic process is an indexed collection of random variables all of which are defined on a common probability space c01-math-0001. If we denote the index set by c01-math-0002, then this can be described mathematically as

equation

where c01-math-0004 is a c01-math-0005-measurable function on the sample space c01-math-0006. The c01-math-0007 argument will generally be suppressed and c01-math-0008 will typically be shortened to just c01-math-0009.

Once the c01-math-0010 have been observed for every , the process has been realized and the resulting collection of real numbers is ...

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