bayesian criterion
61Mechanism design — The Stanley Reiter diagram above illustrates a game of mechanism design. The upper left space Θ depicts the type space and the upper right space X the space of outcomes. The social choice function f(θ) maps a type profile to an outcome. In games… …
62Loss function — In statistics and decision theory a loss function is a function that maps an event onto a real number intuitively representing some cost associated with the event. Typically it is used for parameter estimation, and the event in question is some… …
63Decision theory — in economics, psychology, philosophy, mathematics, and statistics is concerned with identifying the values, uncertainties and other issues relevant in a given decision, its rationality, and the resulting optimal decision. It is closely related to …
64Graphical model — In probability theory, statistics, and machine learning, a graphical model (GM) is a graph that represents independencies among random variables by a graph in which each node is a random variable, and the missing edges between the nodes represent …
65Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …
66Voting system — For other uses, see Voting system (disambiguation). Part of the Politics series Electoral methods …
67Pearson's chi-squared test — (χ2) is the best known of several chi squared tests – statistical procedures whose results are evaluated by reference to the chi squared distribution. Its properties were first investigated by Karl Pearson in 1900.[1] In contexts where it is… …
68Nash equilibrium — A solution concept in game theory Relationships Subset of Rationalizability, Epsilon equilibrium, Correlated equilibrium Superset of Evolutionarily stable strategy …
69Regularization (mathematics) — For other uses in related fields, see Regularization (disambiguation). In mathematics and statistics, particularly in the fields of machine learning and inverse problems, regularization involves introducing additional information in order to… …
70Minimax — This article is about the decision theory concept. For other uses, see Minimax (disambiguation). Minimax (sometimes minmax) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a… …
