Stochastic Processes - Introduction

Stochastic processes is a tool for describing random systems changing over time.

Example of important processes:

• Brownian motion,
• Markov chains,
• Gaussian processe,
• Poisson processes and many others

We'll learn about selecting the appropriate type of processes for modeling in particular situations.

Next we'll understabd:

• Notions of Ergodicity,
• Stationarity, and
• Stochastic Integration.