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A prior probability distribution of an uncertain quantity, often simply called the prior, is its assumed probability distribution before some evidence...

In statistics, the Wishart distribution is a generalization of the gamma distribution to multiple dimensions. It is named in honor of John Wishart, who...

In probability theory, a compound Poisson distribution is the probability distribution of the sum of a number of independent identically-distributed random...

In cryptography, Corrected Block TEA (often referred to as XXTEA) is a block cipher designed to correct weaknesses in the original Block TEA. XXTEA is...

In statistics, a parametric model or parametric family or finite-dimensional model is a particular class of statistical models. Specifically, a parametric...

Common and special causes are the two distinct origins of variation in a process, as defined in the statistical thinking and methods of Walter A. Shewhart...

The mean absolute difference (univariate) is a measure of statistical dispersion equal to the average absolute difference of two independent values drawn...

In signal processing, time–frequency analysis comprises those techniques that study a signal in both the time and frequency domains simultaneously, using...

Infinite divisibility arises in different ways in philosophy, physics, economics, order theory (a branch of mathematics), and probability theory (also...

Linear prediction is a mathematical operation where future values of a discrete-time signal are estimated as a linear function of previous samples. In...

Fiducial inference is one of a number of different types of statistical inference. These are rules, intended for general application, by which conclusions...

In statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated...

Distributed constraint optimization (DCOP or DisCOP) is the distributed analogue to constraint optimization. A DCOP is a problem in which a group of agents...

In mathematics and statistics, the Fréchet mean is a generalization of centroids to metric spaces, giving a single representative point or central tendency...

The mathematical principles of reinforcement (MPR) constitute of a set of mathematical equations set forth by Peter Killeen and his colleagues attempting...