- Bayesian solution
- Математика: байесовское решение
Универсальный англо-русский словарь. Академик.ру. 2011.
Bayesian solution
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Bayesian multivariate linear regression — Consider a collection of m linear regression problems for n observations, related through a set of common predictor variables {x {c}}, and a jointly normal errors {epsilon {c}} ::y {1} = eta {1} x {1} + epsilon {1},,:y {c} = eta {c} x {c} +… … Wikipedia
Bayesian game — In game theory, a Bayesian game is one in which information about characteristics of the other players (i.e. payoffs) is incomplete. Following John C. Harsanyi s framework, a Bayesian game can be modelled by introducing Nature as a player in a… … Wikipedia
Solution concept — In game theory, a solution concept is a formal rule for predicting how the game will be played. These predictions are called solutions , and describe which strategies will be adopted by players, therefore predicting the result of the game. The… … Wikipedia
Bayesian linear regression — In statistics, Bayesian linear regression is a Bayesian alternative to the more well known ordinary least squares linear regression.Consider standard linear regression problem, where we specify the conditional density of y, given x, predictor… … Wikipedia
Raven paradox — The Raven paradox, also known as Hempel s paradox or Hempel s ravens is a paradox proposed by the German logician Carl Gustav Hempel in the 1940s to illustrate a problem where inductive logic violates intuition. It reveals the problem of… … Wikipedia
Wladimir Semjonowitsch Pugatschow — (russisch Владимир Семёнович Пугачёв; engl. Notation: Vladimir Semenovich Pugacev; * 12. Märzjul./ 25. März 1911greg. in Rjasan; † 25. März 1998 in Moskau) war ein russischer Mathematiker. Er gilt in Russland als der erste… … Deutsch Wikipedia
Exchange paradox — The exchange paradox is a paradox within the probability theory and the decision theory which demonstrates problems that can arise when working with expected values. It can appear in different forms and hence under different names. Often it is… … Wikipedia
Fieller's theorem — In statistics, Fieller s theorem allows the calculation of a confidence interval for the ratio of two means.Variables a and b may be measured in different units, so there is no way to directly combine the standard errors as they may also be in… … Wikipedia
Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… … Wikipedia
Principle of maximum entropy — This article is about the probability theoretic principle. For the classifier in machine learning, see maximum entropy classifier. For other uses, see maximum entropy (disambiguation). Bayesian statistics Theory Bayesian probability Probability… … Wikipedia
Maximum parsimony (phylogenetics) — Parsimony is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under parsimony, the preferred phylogenetic tree is the tree that requires the least evolutionary change to explain some… … Wikipedia
