Abstract:
We propose a method for reducing a deformed stochastic basis of the first kind to a weakly deformed one. In the case when every σ-algebra of a filtration is generated by an at most countable partition of the sample space into atoms, we study the problems of constructing deformations of the first kind from a given density process.
Citation:
I. V. Pavlov, O. V. Nazarko, “Characterization of density processes of deformed stochastic bases of the first kind”, Stochastic calculus, martingales, and their applications, Collected papers. Dedicated to Academician Albert Nikolaevich Shiryaev on the occasion of his 80th birthday, Trudy Mat. Inst. Steklova, 287, MAIK Nauka/Interperiodica, Moscow, 2014, 267–278; Proc. Steklov Inst. Math., 287:1 (2014), 256–267
\Bibitem{PavNaz14}
\by I.~V.~Pavlov, O.~V.~Nazarko
\paper Characterization of density processes of deformed stochastic bases of the first kind
\inbook Stochastic calculus, martingales, and their applications
\bookinfo Collected papers. Dedicated to Academician Albert Nikolaevich Shiryaev on the occasion of his 80th birthday
\serial Trudy Mat. Inst. Steklova
\yr 2014
\vol 287
\pages 267--278
\publ MAIK Nauka/Interperiodica
\publaddr Moscow
\mathnet{http://mi.mathnet.ru/tm3577}
\crossref{https://doi.org/10.1134/S0371968514040153}
\elib{https://elibrary.ru/item.asp?id=22681998}
\transl
\jour Proc. Steklov Inst. Math.
\yr 2014
\vol 287
\issue 1
\pages 256--267
\crossref{https://doi.org/10.1134/S008154381408015X}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000348379600015}
\elib{https://elibrary.ru/item.asp?id=24030837}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84921916533}
Linking options:
https://www.mathnet.ru/eng/tm3577
https://doi.org/10.1134/S0371968514040153
https://www.mathnet.ru/eng/tm/v287/p267
This publication is cited in the following 1 articles:
Igor Pavlov, 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), 2016, 432