Reproducing Kernel Hilbert Spaces and Paths of Stochastic Processes

Antonio F. Gualtierotti
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Antonio F. Gualtierotti: University of Lausanne, HEC and IDHEAP

Chapter Chapter 4 in Detection of Random Signals in Dependent Gaussian Noise, 2015, pp 307-327 from Springer

Abstract: Abstract The problem addressed in this chapter is that of giving conditions which insure that the paths of a stochastic process belong to a given RKHS, a requirement for likelihood detection problems not to be singular.

Keywords: Stochastic Process; Produce Process; Functional Analysis; Probability Theory; Probability Space (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-22315-5_4

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DOI: 10.1007/978-3-319-22315-5_4

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