• https://doi.org/10.1007/978-3-319-90515-0_1Copy DOI Icon

Review of Probability Theory

  • Jan 1, 2018
  • Ettore Vitali +2 more
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Abstract

This chapter provides a self-contained review of the foundations of probability theory, in order to fix notations and introduce mathematical objects employed in the remaining chapters. In particular we stress the notions of measurability, related to what it is actually possible to observe when performing an experiment, and statistical independence. We present several tools to deal with random variables; in particular we focus on the normal random variables, a cornerstone in the theory of random phenomena. We conclude presenting the law of large numbers and the central limit theorem.

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