Dynamics in Survival Analysis: Conditional Gaussian Property versus Cameron-Martin Formula

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2445 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2445 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2445 archive 351 disk0/00/00/24/11 2016-01-15 01:54:30 2021-08-27 17:11:40 2016-01-15 01:54:30 monograph show 2 Yashin A.I. AL1394 Dynamics in Survival Analysis: Conditional Gaussian Property versus Cameron-Martin Formula pub iis_pop iis_met prog_pop This paper describes the stochastic process model for mortality rates of the population. The key question is the relationship between conditional and unconditional survival functions. The Cameron and Martin solution to the problem is compared to the solution based on the Conditional Gaussian Approach. The advantages of the Gaussian approach are discussed. The proof of the main formula for averaging uses the martingale specification of the random hazard rate. 1984-12 published WP-84-107 WP-84-107 2535 public working_paper IIASA, Laxenburg, Austria 25 FALSE info:eu-repo/semantics/book