Parameter Estimation - ML vs. MAP - fu-berlin.de
Random variables are either discrete (i.e., they can assume one of a list of values, like the Bernoulli with heads/tails) or con-tinuous (i.e., they can take on any numerical value in a certain interval, like the Beta distribution with ). A probability density function (pdf) of a continuous random variable, is a function that describes the relative
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06 Random Number Generation - fu-berlin.de
www.mi.fu-berlin.de6.7 Pseudo-Random Numbers • Goal: To produce a sequence of numbers in [0,1] that simulates, or imitates, the ideal properties of random numbers (RN). Prof. Dr. Mesut Güneş Ch. 6 Random-Number Generation
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