منابع مشابه
Compressing Probability Distributions
Manipulating probability distributions is central to data compression, so it is natural to ask how well we can compress probability distributions themselves. For example, this is useful for probabilistic reasoning [2] and query optimization [6]. Our interest in it stems from designing single-round asymmetric communication protocols [1,4]. Suppose a server with high bandwidth wants to help a cli...
متن کاملProbability and Sampling Distributions
When an experiment is conducted, such as tossing coins, rolling a die, sampling for estimating the proportion of defective units, several outcomes or events occur with certain probabilities. These events or outcomes may be regarded as a variable which takes different values and each value is associated with a probability. The values of this variable depends on chance or probability. Such a vari...
متن کاملConstructing Random Probability Distributions
Abstrac: This article surveys several classes of iterative methods for constructing random probability distributions (or random convex functions, or random home omorphisms), and includes illustrative applications in statistics, optimal-control theory, and game theory. Computer simulations of these methods are fast and easy to implement.
متن کاملCommon probability distributions
For each distribution, I give the name of the distribution along with one or two parameters and indicate whether it is a discrete distribution or a continuous one. Then I describe an example interpretation for a random variable X having that distribution. Each discrete distribution is determined by a probability mass function f which gives the probabilities for the various outcomes, so that f(x...
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ژورنال
عنوان ژورنال: Information Processing Letters
سال: 2006
ISSN: 0020-0190
DOI: 10.1016/j.ipl.2005.10.006