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Maintaining discrete probability distributions optimally

1993
Consider a distribution as an abstract data type that represents a probability distribution f on a finite set and supports a generate operation, which returns a random value distributed according to f and independent of the values returned by previous calls. We study the implementation of dynamic distributions, which additionally support changes to the
Hagerup, Torben   +2 more
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Probability Distributions: Discrete

2018
The discrete probability distributions are introduced in this chapter. The general rules of a discrete probability distributions are illustrated and the concepts of expected value and variance are shown. The rules are illustrated with a number of examples.
M. Ataharul Islam, Abdullah Al-Shiha
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Discrete probability

Choice Reviews Online, 1998
Paul Embrechts, Hugh I. Gordon
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Probability II: More Discrete Probability

2004
In this chapter, we cover the material on finite probability spaces that is needed for the discussion of discrete-time models in the next chapter.
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Probability I: An Introduction to Discrete Probability

2004
Asset pricing involves the prediction of future events and as such relies very heavily on the mathematical theory of probability. In this chapter, we begin a discussion of basic probability. This discussion will continue in later chapters, as the need for more information arises in connection with subsequent topics to be covered in the book.
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Discrete Probability.

Journal of the American Statistical Association, 1967
J. A. Hartigan   +2 more
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Discrete Probability Distributions

2012
In Chapter 6, you learn how to use R for the binomial distribution and the Poisson distribution. We quickly review the characteristics of a discrete probability distribution, and then you learn the various functions in R that make it easy to work with both discrete and continuous distributions.
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Discrete Probability

V. Ravichandran, Atul Kumar Razdan
  +4 more sources

Probability on discrete structures

2012
This dissertation contains the solutions to two problems. The first problem concerns probability on trees. The second is a covering problem. Several different probability problems can be studied on trees, such as random walks, percolation, random-walk-in-random-environment and tree-indexed processes. Optimal-reward problems are one reason to study tree-
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Discrete Probability.

The American Mathematical Monthly, 1969
B. W. Lindgren   +2 more
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