Parameter estimation and synthesis for systems biology: New algorithms for nonlinear and stochastic models
โ Scribed by Sumit Jha; Alexandre Donze; Rupinder Khandpur; Joyeeta Dutta-Moscato; Qi Mi; Yoram Vodovotz; Gilles Clermont; Christopher Langmead
- Book ID
- 113697265
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 43 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0883-9441
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We consider a controlled stochastic semilinear evolution equation with the drift depending on the unknown parameter. We show that the maximum likelihood estimator is strongly consistent for a class of bounded predictable controls.
An algorithm for the estimation of stochastic processes in a neural system is presented. This process is defined here as the continuous stochastic process reflecting the dynamics of the neural system which has some inputs and generates output spike trains. The algorithm proposed here is to identify