The purpose of this chapter is to get you to read the rest of the monograph. We present four examples of probability questions that would be unpleasant to solve by hand, but are solvable with computational probability using A Probability Programming Language (APPL). We define the field of computational probability as the development of data structures and algorithms to automate the derivation of existing and new results in probability and statistics. Section 10.3, for example, contains the derivation of the distribution of a well-known test statistic that requires 99500 carefully crafted integrations.
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© 2008 Springer Science+Business Media, LLC
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(2008). Computational Probability. In: Computational Probability. In Operations Research & Management Science, vol 117. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74676-0_1
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DOI: https://doi.org/10.1007/978-0-387-74676-0_1
Publisher Name: Springer, Boston, MA
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