This chapter and the two that follow it are concerned with continuous random variables.We have chosen to present continuous random variables first because they are defined with a somewhat simpler data structure than that for discrete random variables. The development described here gives a probabilist the ability to automate the instantiation and processing of continuous random variables—key elements of computational probability.
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© 2008 Springer Science+Business Media, LLC
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(2008). Data Structures and Simple Algorithms. In: Computational Probability. In Operations Research & Management Science, vol 117. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74676-0_3
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DOI: https://doi.org/10.1007/978-0-387-74676-0_3
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