probability model
31Variable-order Markov model — Variable order Markov (VOM) models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number… …
32Martingale (probability theory) — For the martingale betting strategy , see martingale (betting system). Stopped Brownian motion is an example of a martingale. It can be used to model an even coin toss betting game with the possibility of bankruptcy. In probability theory, a… …
33Substitution model — A substitution model describes the process from which a sequence of characters of a fixed size from some alphabet changes into another set of traits. For example, in cladistics, each position in the sequence might correspond to a property of a… …
34Social-circles network model — The generative model of feedback networks [Cited by Wei, Wang, Qiuping, Nivanen, Lauret et al (2006 01 12) [http://www.citebase.org/abstract?id=oai%3AarXiv.org%3Aphysics%2F0601091 How to fit the degree distribution of the air network?] ] , [Cited …
35Boolean-valued model — In mathematical logic, a Boolean valued model is a generalization of the ordinary Tarskian notion of structure or model, in which the truth values of propositions are not limited to true and false , but take values in some fixed complete Boolean… …
36Atkinson–Shiffrin memory model — Note that in this diagram, sensory memory is detached from either form of memory, and represents its development from short term and long term memory, due to its storage being used primarily on a run time basis for physical or psychosomatic… …
37Nagel-Schreckenberg model — The Nagel Schreckenberg model is a theoretical model for the simulation of freeway traffic. The model was developed in the early 90s by the German physicists Kai Nagel and Michael Schreckenberg[1]. It is essentially a simple cellular automaton… …
38Statistical model — A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more random variables. The model is statistical… …
39Shortcut model — An important question in statistical mechanics is the dependence of model behaviour on the dimension of the system. The shortcut modelcite journal|author=Shanker, O.|year=2007|title=Graph Zeta Function and Dimension of Complex… …
40Copula (probability theory) — In probability theory and statistics, a copula can be used to describe the dependence between random variables. Copulas derive their name from linguistics. The cumulative distribution function of a random vector can be written in terms of… …
