Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology
Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology
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DOI：
10.1080/1026022021000001454
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发表时间：
2002-01-01
影响因子：
1.4
通讯作者：
Hanin, LG
中科院分区：
文献类型：
--
作者：
Hanin, LG
A general framework for solving identification problem for a broad class of deterministic and stochastic models is discussed. This methodology allows for a unified approach to studying identifiability of various stochastic models arising in biology and medicine including models of spontaneous and induced carcinogenesis, tumor progression and detection, and randomized hit and target models of irradiated cell survival. A variety of known results on parameter identification for stochastic models is reviewed and several new results are presented with an emphasis on rigorous mathematical development.
