Inequality for the variance of an asymmetric loss

Autor: Yamaguchi, Naoya, Yamaguchi, Yuka, Hori, Maiya
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: We assume that the forecast error follows a probability distribution which is symmetric and monotonically non-increasing on non-negative real numbers, and if there is a mismatch between observed and predicted value, then we suffer a loss. Under the assumptions, we solve a minimization problem with an asymmetric loss function. In addition, we give an inequality for the variance of the loss.
Databáze: arXiv