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LFCS seminar: Verena Wolf: Generalized method of moments for estimating parameters of stochastic reaction networks

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What
  • LFCS Seminar
  • Upcoming events
When Sep 12, 2016
from 03:00 PM to 04:00 PM
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Abstract:

Discrete-state stochastic models have become a well-established approach to describe biochemical reaction networks that are influenced by the inherent randomness of cellular events. In the last years several methods for accurately approximating the statistical moments of such models have become very popular since they allow an efficient analysis of complex networks.
In my talk I will propose a generalized method of moments approach for inferring the parameters of discrete-state stochastic models based on a sophisticated matching of the statistical moments and the sample moments of population snapshot data. The proposed parameter estimation method exploits recently developed moment-based approximations and provides estimators with desirable statistical properties when a large number of samples are available. The usefulness and efficiency of the inference method will be demonstrated on two case studies.

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