Multivariate Distributions and Moments

Rudolf Mathar (), Gholamreza Alirezaei (), Emilio Balda and Arash Behboodi
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Rudolf Mathar: RWTH Aachen University, Institute for Theoretical Information Technology
Gholamreza Alirezaei: RWTH Aachen University, Chair and Institute for Communications Engineering
Emilio Balda: RWTH Aachen University, Institute for Theoretical Information Technology
Arash Behboodi: RWTH Aachen University, Institute for Theoretical Information Technology

Chapter Chapter 3 in Fundamentals of Data Analytics, 2020, pp 35-43 from Springer

Abstract: Abstract Probability theory provides mathematical laws for randomness and is hence an essential tool for quantitative analysis of nondeterministic or noisy data. It allows the description of complex systems when only partial knowledge of the state is available. For example, supervised learning is performed on the basis of training data. To assess robustness and reliability of derived decision and classification rules, knowledge of the underlying distributions is essential.

Date: 2020
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DOI: 10.1007/978-3-030-56831-3_3

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