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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2542 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2542 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2542 archive 351 disk0/00/00/24/97 2016-01-15 01:55:00 2021-08-27 17:12:01 2016-01-15 01:55:00 monograph show 2 Yashin A.I. AL1394 pub iis_met iis_rsk prog_sds Recent attempts to apply the results of martingale theory in probability theory have shown that it is first necessary to interpret this abstract mathematical theory in more conventional terms. One example of this is the need to obtain a representation of the dual predictable projections (compensators) used in martingale theory in terms of probability distributions. However, up to now a representation of this type has been derived only for one special case. In this paper, the author gives probabilistic representations of the dual predictable projection of integer-valued random measures that correspond to jumps in a semimartingale with respect to the sigma-algebras generated by this process. The results are of practical importance because such dual predictable projections are usually interpreted as random intensities or hazard rates related to jumps in trajectories: applications are found in such fields as mathematical demography and risk analysis. 1984-03 published WP-84-021 WP-84-021 2535 public working_paper IIASA, Laxenburg, Austria 27 FALSE info:eu-repo/semantics/book