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:
“When a man laughs at his troubles he loses a good many friends. They never forgive the loss of their prerogative.”
—H.L. (Henry Lewis)
“The press and politicians. A delicate relationship. Too close, and danger ensues. Too far apart and democracy itself cannot function without the essential exchange of information. Creative leaks, a discreet lunch, interchange in the Lobby, the art of the unattributable telephone call, late at night.”
—Howard Brenton (b. 1942)