Stochastic integration in Banach spaces - a survey
Jan van Neerven, Mark Veraar, Lutz Weis

TL;DR
This survey reviews stochastic integration in Banach spaces, focusing on martingale type 2 and UMD spaces, and discusses applications like Malliavin calculus and stochastic maximal regularity, including a new proof of the latter.
Contribution
It provides a comprehensive overview of stochastic integration in Banach spaces and introduces a new proof for stochastic maximal regularity.
Findings
Exposition of stochastic integrals in martingale type 2 and UMD spaces
Applications to vector-valued Malliavin calculus
A new proof of the stochastic maximal regularity theorem
Abstract
This paper presents a brief survey of the theory of stochastic integration in Banach spaces. Expositions of the stochastic integrals in martingale type 2 spaces and UMD spaces are presented, as well as some applications of the latter to vector-valued Malliavin calculus and the stochastic maximal regularity problem. A new proof of the stochastic maximal regularity theorem is included.
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Taxonomy
TopicsStochastic processes and financial applications · Risk and Portfolio Optimization
