Permanental Processes
Hana Kogan, Michael B. Marcus, Jay Rosen

TL;DR
This paper surveys permanental processes, a class of stochastic processes generalizing squared Gaussian processes, highlighting their theoretical foundations and open research problems.
Contribution
It introduces permanental processes as a new research area, extending Gaussian process theory to non-symmetric, non-positive definite functions.
Findings
Permanental processes generalize squared Gaussian processes.
Many open problems remain in the theory of permanental processes.
Abstract
This is a survey of results about permanental processes, real valued positive processes which are a generalization of squares of Gaussian processes. In a certain sense the symmetric positive definite function that determines a Gaussian process is replaced by a function that is not necessarily symmetric nor positive definite, but that nevertheless determines a stochastic process. This is a new avenue of research with very many open problems.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Mathematical Approximation and Integration
