probability model
51Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… …
52Down Transition Probability — The probability that an asset s value will decline in one period’s time within the context of an option pricing model. The option pricing models using a down transition probability are both the binomial and trinomial option pricing models.… …
53Prior probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …
54Generalized scale-free model — There has been a burst of activity in the modeling of scale free complex networks. The recipe of Barabási and AlbertBarabási, A. L. and R. Albert, Science 286, 509(1999).] has been followed by several variations and generalizationsR. Albert, and… …
55Empirical probability — Empirical probability, also known as relative frequency, or experimental probability, is the ratio of the number favourable outcomes to the total number of trials [ [http://www.answers.com/topic/empirical probability statistics Empirical… …
56Diamond coconut model — In Diamond s model, people will only climb trees to pick coconuts if they believe that enough other people are also doing it. The Diamond coconut model is an economic model constructed by the American economist and 2010 Nobel laureate Peter… …
57Bayesian model comparison — A common problem in statistical inference is to use data to decide between two or more competing models. Frequentist statistics uses hypothesis tests for this purpose. There are several Bayesian approaches. One approach is through Bayes… …
58Watts and Strogatz model — The Watts and Strogatz model is a random graph generation model that produces graphs with small world properties, including short average path lengths and high clustering. It was proposed by Duncan J. Watts and Steven Strogatz in their joint 1998 …
59Accelerated failure time model — In the statistical area of survival analysis, an accelerated failure time model (AFT model) is a parametric model that provides an alternative to the commonly used proportional hazards models. Whereas a proportional hazards model assumes that the …
60Absolute probability judgement — is a technique used in the field of human reliability assessment (HRA), for the purposes of evaluating the probability of a human error occurring throughout the completion of a specific task. From such analyses measures can then be taken to… …
