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General Introduction

  • John Lamperti
Part of the Applied Mathematical Sciences book series (AMS, volume 23)

Abstract

A stochastic (or random) process is formally defined to be a collection of random variables defined on a common probability space (Ω, F, P) and indexed by the elements of a parameter set T.

Keywords

Markov Process Random Process Markov Random Field Markov Property Independent Increment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag, New York Inc. 1977

Authors and Affiliations

  • John Lamperti
    • 1
  1. 1.Department of MathematicsDartmouth CollegeHanoverUSA

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