In this chapter we review basic knowledge of discrete probability theory. We also take a closer look at conditional expectations and filtrations in the discrete case, as these are important tools in financial mathematics. In particular, we will try to illustrate the ideas behind these two concepts and why they lead to the corresponding definitions. A reader having a good understanding of those concepts can skip this chapter.
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