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JUCS
2007
92views more  JUCS 2007»
8 years 11 months ago
Parameter Estimation of Systems Described by the Relation with Noisy Observations
: In this paper the problem of parameter estimation of an input – output system is discussed. It is assumed that the system is described by the relation known with accuracy to so...
Jerzy Swiatek
TSP
2008
106views more  TSP 2008»
8 years 11 months ago
An EM Algorithm for Ion-Channel Current Estimation
Parameter estimation of a continuous-time Markov chain observed through a discrete-time memoryless channel is studied. An expectation-maximization (EM) algorithm for maximum likeli...
William J. J. Roberts, Yariv Ephraim
INFORMATICALT
2006
65views more  INFORMATICALT 2006»
8 years 11 months ago
Iterative Estimation Algorithm of Autoregressive Parameters
This paper presents an iterative autoregressive system parameter estimation algorithm in the presence of white observation noise. The algorithm is based on the parameter estimation...
Kazys Kazlauskas, Jaunius Kazlauskas
CCE
2006
8 years 11 months ago
Sensitivity analysis of differential-algebraic equations and partial differential equations
Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In...
Linda R. Petzold, Shengtai Li, Yang Cao, Radu Serb...
CCE
2006
8 years 11 months ago
Frequency-domain parameter estimation of general multi-rate systems
This paper studies the parameter estimation of a general multi-input, multi-output multi-rate system in the frequency-domain. Two methods, named dividing to subsystems and input e...
M. Sahebsara, T. Chen, S. L. Shah
BMCBI
2006
194views more  BMCBI 2006»
8 years 11 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
BMCBI
2008
114views more  BMCBI 2008»
8 years 11 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
BMCBI
2010
175views more  BMCBI 2010»
8 years 11 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
8 years 11 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
AMC
2008
82views more  AMC 2008»
8 years 11 months ago
Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models
This paper presents a parameter estimation algorithm for a class of Hammerstein nonlinear systems
Li Yu, Jiabo Zhang, Yuwu Liao, Jie Ding
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