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Leonard J. Savage argued that using non-Bayesian methods such as minimax, the loss function should be based on the idea of regret, i.e., the loss associated with a decision should be the difference between the consequences of the best decision that could have been made had the underlying circumstances been known and the decision that was in fact taken before they were known.
A regularization term (or regularizer) () is added to a loss function: = ((),) + where is an underlying loss function that describes the cost of predicting () when the label is , such as the square loss or hinge loss; and is a parameter which controls the importance of the regularization term.
Experience modifier. In the insurance industry in the United States, an experience modifier or experience modification is an adjustment of an employer's premium for worker's compensation coverage based on the losses the insurer has experienced from that employer. An experience modifier of 1 would be applied for an employer that had demonstrated ...
In macroeconomics, a multiplier is a factor of proportionality that measures how much an endogenous variable changes in response to a change in some exogenous variable. For example, suppose variable x changes by k units, which causes another variable y to change by M × k units. Then the multiplier is M.
Keynesian economics (/ ˈkeɪnziən / KAYN-zee-ən; sometimes Keynesianism, named after British economist John Maynard Keynes) are the various macroeconomic theories and models of how aggregate demand (total spending in the economy) strongly influences economic output and inflation. [1] In the Keynesian view, aggregate demand does not ...
If the loss does not start until some time in the future, then you can combine Table 27 and Table 28 to give an overall multiplier. For example a loss over a period of 15 years that starts in 10 years time would have a Table 27 multiplier of 0.7812 and a Table 28 multiplier of 12.54 giving an overall multiplier of 9.80.
Lagrange multiplier. In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equation constraints (i.e., subject to the condition that one or more equations have to be satisfied exactly by the chosen values of the variables). [1]
Leverage (finance) The use of borrowed funds in the purchase of an asset. In finance, leverage, also known as gearing, is any technique involving borrowing funds to buy an investment. Financial leverage is named after a lever in physics, which amplifies a small input force into a greater output force, because successful leverage amplifies the ...