Titlebook: Stochastic Modelling and Filtering; Proceedings of the I Alfredo Germani Conference proceedings 1987 Springer-Verlag Berlin Heidelberg 1987

母牛胆小鬼

书目名称Stochastic Modelling and Filtering影响因子(影响力)




书目名称Stochastic Modelling and Filtering影响因子(影响力)学科排名




书目名称Stochastic Modelling and Filtering网络公开度




书目名称Stochastic Modelling and Filtering网络公开度学科排名




书目名称Stochastic Modelling and Filtering被引频次




书目名称Stochastic Modelling and Filtering被引频次学科排名




书目名称Stochastic Modelling and Filtering年度引用




书目名称Stochastic Modelling and Filtering年度引用学科排名




书目名称Stochastic Modelling and Filtering读者反馈




书目名称Stochastic Modelling and Filtering读者反馈学科排名

女歌星

Kinetic

难取悦

Estimation of immune response model parameters based on maximum likelihood method,cal point of view a disease is a process of an interaction between an antigen and cell populations of the immune system. Therefore concentrations of an antigen and immune system cells are state variables of the model..The interaction between cell populations in the model is described by nonlinear te

Bernstein-test

Conquest

Asymptotic study of estimation problems with small observation noise,ers which are solutions of stochastic differential equations driven by the observation process; upper bounds for the corresponding approximation errors are given. The proof is detailed in a particular case where the result can be improved; in particular, the efficiency of the extended Kalman filter

BUCK

机密

拱墙

价值在贬值

Galerkin approximation for optimal linear filtering of infinite dimensional linear systems,the state for each sample path of the noise. A basic tool is the study of the Riccati equation on the Hilbert space of Hilbert-Schmidt operators on the state space. Numerical results are given for a case concerning delay-differential equation.