TY - BOOK ID - 111690298 TI - Structured dependence between stochastic processes AU - Bielecki, Tomasz R. AU - Jakubowski, Jacek AU - Niewęgłowski, Mariusz PY - 2020 SN - 9781316650530 9781108895378 1108895379 1316650537 9781107154254 PB - Cambridge : Cambridge University Press, DB - UniCat KW - Markov processes. KW - Dependence (Statistics) UR - https://www.unicat.be/uniCat?func=search&query=sysid:111690298 AB - The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena. ER -