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Basic Ideas in Probability

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Probability and Statistics for Computer Science
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Abstract

We will perform experiments—which could be pretty much anything, from flipping a coin, to eating too much saturated fat, to smoking, to crossing the road without looking—and reason about the outcomes (mostly bad for the examples I gave). But these outcomes are uncertain, and we need to weigh those uncertainties against one another. If I flip a coin, I could get heads or tails, and there’s no reason to expect to see one more often than the other. If I eat too much saturated fat or smoke, I will very likely have problems, though I might not. If I cross the road without looking, I may be squashed by a truck or I may not. Our methods need also to account for information. If I look before I cross the road, I am much less likely to be squashed. Probability is the machinery we use to describe and account for the fact that some outcomes are more frequent than others.

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Forsyth, D. (2018). Basic Ideas in Probability. In: Probability and Statistics for Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-64410-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-64410-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64409-7

  • Online ISBN: 978-3-319-64410-3

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