Chapter 1Introduction
Briefly stated, a stochastic process is an indexed collection of random variables all of which are defined on a common probability space . If we denote the index set by , then this can be described mathematically as
where is a -measurable function on the sample space . The argument will generally be suppressed and will typically be shortened to just .
Once the have been observed for every , the process has been realized and the resulting collection of real numbers is ...
Get Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.