risk vector

  • 1Risk — takers redirects here. For the Canadian television program, see Risk Takers. For other uses, see Risk (disambiguation). Risk is the potential that a chosen action or activity (including the choice of inaction) will lead to a loss (an undesirable… …

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  • 2Vector notation — This page is an overview of the common notations used when working with vectors, which may be spatial or more abstract members of vector spaces.The common typographic convention for representing a vector is upright boldface type, as in v for a… …

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  • 3Coherent risk measure — In the field of financial economics there are a number of ways that risk can be defined; to clarify the concept theoreticians have described a number of properties that a risk measure might or might not have. A coherent risk measure is a function …

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  • 4Viral vector — Viral vectors are a tool commonly used by molecular biologists to deliver genetic material into cells. This process can be performed inside a living organism ( in vivo ) or in cell culture ( in vitro ). Viruses have evolved specialized molecular… …

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  • 5Value at risk — (VaR) is a maximum tolerable loss that could occur with a given probability within a given period of time. VaR is a widely applied concept to measure and manage many types of risk, although it is most commonly used to measure and manage the… …

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  • 6Structural risk minimization — (SRM) is an inductive principle of use in machine learning. Commonly in machine learning, a generalized model must be selected from a finite data set, with the consequent problem of overfitting ndash; the model becoming too strongly tailored to… …

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  • 7Relevance Vector Machine — (RVMs) is a machine learning technique that uses Bayesian theory to obtain sparse solutions for regression and classification. The RVM has an identical functional form to the Support Vector Machine, but provides probabilistic… …

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  • 8Stein's unbiased risk estimate — In statistics, Stein s unbiased risk estimate (SURE) is an unbiased estimator of the mean squared error of a given estimator, in a deterministic estimation scenario. In other words, it provides an indication of the accuracy of a given estimator.… …

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  • 9Mutual fund separation theorem — In portfolio theory, a mutual fund separation theorem, mutual fund theorem, or separation theorem is a theorem stating that, under certain conditions, any investor s optimal portfolio can be constructed by holding each of certain mutual funds in… …

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  • 10DDT — For other uses, see DDT (disambiguation). DDT …

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