A loss function is a real lower-bounded function L on Θ × A for some θ ∈ Θ. The value L(θ, δ(X)) is the cost of action δ(X) under parameter θ.
Read more about Loss Function: Decision Rules, Expected Loss, Selecting A Loss Function, Loss Functions in Bayesian Statistics, Regret, Quadratic Loss Function, 0-1 Loss Function
Famous quotes containing the words loss and/or function:
“No need to be sentimental to mourn the loss of Paradise.”
—Mason Cooley (b. 1927)
“Think of the tools in a tool-box: there is a hammer, pliers, a saw, a screwdriver, a rule, a glue-pot, nails and screws.—The function of words are as diverse as the functions of these objects.”
—Ludwig Wittgenstein (1889–1951)