Probability theory constitutes the second major foundational chapter of this book. This chapter is intended to provide the necessary groundwork for understanding the mechanisms by which the Kalman filter can be used to filter measurable, noisy quantities and estimate unknown variables. To this end, the most important fundamentals for state estimation are presented in this chapter. The focus is deliberately limited to those aspects of probability theory and statistics that are relevant to state estimation using Kalman filters.