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

Abstract

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

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