Yashin, A.I. (1984). Dynamics in Survival Analysis: Conditional Gaussian Property versus Cameron-Martin Formula. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-84-107
Preview |
Text
WP-84-107.pdf Download (441kB) | Preview |
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.
Item Type: | Monograph (IIASA Working Paper) |
---|---|
Research Programs: | World Population (POP) |
Depositing User: | IIASA Import |
Date Deposited: | 15 Jan 2016 01:54 |
Last Modified: | 27 Aug 2021 17:11 |
URI: | https://pure.iiasa.ac.at/2411 |
Actions (login required)
View Item |