Some properties of η-convex stochastic processes

Abstract

<abstract> <p>The stochastic processes is a significant branch of probability theory, treating probabilistic models that develop in time. It is a part of mathematics, beginning with the axioms of probability and containing a rich and captivating arrangement of results following from those axioms. In probability, a convex function applied to the expected value of an random variable is always bounded above by the expected value of the convex function of the random variable. The definition of <italic>η</italic>-convex stochastic process is introduced in this paper. Moreover some basic properties of <italic>η</italic>-convex stochastic process are derived. We also derived Jensen, Hermite-Hadamard and Ostrowski type inequalities for <italic>η</italic>-convex stochastic process.</p> </abstract>