no code implementations • 28 Jun 2023 • Anton Malandii, Siddhartha Gupte, Cheng Peng, Stan Uryasev
This paper introduces a novel framework for assessing risk and decision-making in the presence of uncertainty, the \emph{$\varphi$-Divergence Quadrangle}.
no code implementations • 28 Jun 2023 • Viktor Kuzmenko, Anton Malandii, Stan Uryasev
The aim of this paper is to rigorously examine the properties of these Expectile Quadrangles, with particular emphasis on a quadrangle that encompasses expectile as both a statistic and a measure of risk.
no code implementations • 18 Dec 2022 • Anton Malandii, Stan Uryasev
It is shown that both formulations of SVR, $\varepsilon$-SVR and $\nu$-SVR, correspond to the minimization of equivalent error measures (Vapnik error and CVaR norm, respectively) with a regularization penalty.