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  2. Stein's method - Wikipedia

    en.wikipedia.org/wiki/Stein's_method

    Stein's method is a general method in probability theory to obtain bounds on the distance between two probability distributions with respect to a probability metric.It was introduced by Charles Stein, who first published it in 1972, [1] to obtain a bound between the distribution of a sum of -dependent sequence of random variables and a standard normal distribution in the Kolmogorov (uniform ...

  3. Information geometry - Wikipedia

    en.wikipedia.org/wiki/Information_geometry

    Information geometry is an interdisciplinary field that applies the techniques of differential geometry to study probability theory and statistics. [ 1 ] It studies statistical manifolds , which are Riemannian manifolds whose points correspond to probability distributions .

  4. Laurent Saloff-Coste - Wikipedia

    en.wikipedia.org/wiki/Laurent_Saloff-Coste

    Lectures on finite Markov chains, in Lectures on Probability Theory and Statistics, Lecture Notes in Mathematics, Band 1665, 1997, S. 301-413 with Nicholas Varopoulos , T. Coulhon Analysis and geometry on groups , Cambridge Tracts in Mathematics, Band 100, Cambridge University Press 1992

  5. Convolution of probability distributions - Wikipedia

    en.wikipedia.org/wiki/Convolution_of_probability...

    The probability distribution of the sum of two or more independent random variables is the convolution of their individual distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of independent random variables is the convolution of their corresponding probability mass functions or probability density functions respectively.

  6. Characteristic function (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Characteristic_function...

    In probability theory and statistics, the characteristic function of any real-valued random variable completely defines its probability distribution. If a random variable admits a probability density function , then the characteristic function is the Fourier transform (with sign reversal) of the probability density function.

  7. Divergence (statistics) - Wikipedia

    en.wikipedia.org/wiki/Divergence_(statistics)

    In general statistics and probability, "divergence" generally refers to any kind of function (,) ... Lecture Notes in Statistics. Vol. 28. Springer-Verlag.

  8. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    The standard probability axioms are the foundations of probability theory introduced by Russian mathematician Andrey Kolmogorov in 1933. [1] These axioms remain central and have direct contributions to mathematics, the physical sciences, and real-world probability cases. [2] There are several other (equivalent) approaches to formalising ...

  9. Probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Probability_and_statistics

    Probability and statistics are two closely related fields in mathematics, sometimes combined for academic purposes. They are covered in several articles: Probability; Statistics; Glossary of probability and statistics; Notation in probability and statistics; Timeline of probability and statistics

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