Module 1:Concepts of Random walks, Markov Chains, Markov Processes
  Lecture 1:Introduction to Stochastic Process
 

Gaussian Process

A stochastic process is called Gaussian process if the joint distribution of  is  variate normal distribution. Now a  variate normal distribution is specified by it mean vector

and the variance-covariance matrix

Note

If a Gaussian process is covariance stationary, then it is strictly stationary.