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On the identification by filtering techniques of a biological n-compartment model in which the transport rate parameters are assumed to be stochastic processes

✍ Scribed by C. Cobelli; L.M. Morato


Publisher
Springer
Year
1978
Tongue
English
Weight
472 KB
Volume
40
Category
Article
ISSN
1522-9602

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✦ Synopsis


In this paper biological compartmental models are considered which take into account the intrinsic randomness of the transport rate parameters and their possible variability in time. An identification procedure is presented for the estimation of the stochastic processes representing the transport rate parameters of a compartmental model from a noisy input output experiment. The problem is formulated in terms of nonlinear filtering. A simple model is discussed for the case in which the transport rate parameters are independent of each other. The possibility of testing possible important features of the behavior of the transport rate parameters is also evidenced.