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The costate variables () can be interpreted as Lagrange multipliers associated with the state equations. The state equations represent constraints of the minimization problem, and the costate variables represent the marginal cost of violating those constraints; in economic terms the costate variables are the shadow prices.
The Cost-loss model considers one forecast prior to an event, while the Extended cost-loss model considers two forecasts at different times prior to the event. The Extended cost-loss model is an example of a dynamic decision model, and links the cost-loss model to the Bellman equation and Dynamic programming.
The break-even point (BEP) in economics, business—and specifically cost accounting—is the point at which total cost and total revenue are equal, i.e. "even". In layman's terms, after all costs are paid for there is neither profit nor loss.
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A fascinating map shows the most searched for cost for a product or service by state. It was created by local business listing service Fixr.com by Googling "how much does an a * cost" in a certain ...
In many applications, objective functions, including loss functions as a particular case, are determined by the problem formulation. In other situations, the decision maker’s preference must be elicited and represented by a scalar-valued function (called also utility function) in a form suitable for optimization — the problem that Ragnar Frisch has highlighted in his Nobel Prize lecture. [4]
To meet the objective of rate adequacy, the rates should be responsive over time in comparison with changing economic conditions and loss exposures. Finally, to reduce the frequency and severity of losses, the rating system should encourage loss control activities. Loss control is important in insurance because it tends to keep insurance ...
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.