model-based parameter estimation approach
Fast Gait Parameter Estimation for Frontal View Gait Video Data Based on the Model Selection and Parameter Optimization Approach
... Gait analysis is mainly based on motion capture system and video data. The motion capture system can give the precise measurements of trajectories of moving objects, but it requires the laboratory environments and ...
6
Straightforward and Accurate Nonlinear Device Model Parameter- Estimation Method Based on Vectorial Large-Signal Measurements
... detour based on multibias -parameter ...investigated approach of using vectorial large-signal measurements in nonlinear mod- eling was to efficiently extract the device’s state functions di- rectly ...
6
Bayesian Skew Normal Seemingly Unrelated Regression Modelling of Gross Regional Domestic Product
... regression model was often questioned especially in cases where there was an outlier, which causes the behavior of asymmetric ...to model SUR with Skew Normal error using Bayesian approach applied to ...
11
Parameter estimation and uncertainty quantification for an epidemic model
... univariate approach they cannot account for any impact of correlation between parameter estimates, as we shall see below, although they can indicate instances in which parameter estimates are likely ...
34
Electric Motor Fault Diagnosis Based on Parameter Estimation Approach Using Genetic Algorithm
... motor parameter estimation using Genetic algorithm (GA) for condition ...linkage model and torque model of an induction motor is adapted to the ...
6
Analysis and approximation for inverse problems in contaminant transport and biodegradation models
... promising approach is bioremediation, in which either nat- urally occurring or externally introduced bacteria are used to decompose contaminants into non-toxic ...on model development and computational ...
27
Parameter estimation for the stochastic SIS epidemic model
... general parameter estimation in stochastic differential equations (SDEs) is a non-trivial problem [2, ...to estimation im- possible to implement. Young [27] reviews parameter estimation ...
26
Model selection, estimation and forecasting in INAR(p) models: A likelihood-based Markov Chain approach
... series based on the integer autoregressive, IN AR(p), class of ...simulation based method for producing coherent forecasts for higher-order IN AR models but this too requires considerable computational work ...
22
Ergodicity of stochastic smoking model and parameter estimation
... smoking model driven by Brownian motion based on a deterministic smoking ...smoking model is ...smoking model by a least squares estimation and the ergodic theory on the stationary ...
20
Simultaneous computation of model order and parameter estimation for ARX model based on multi swarm particle swarm optimization
... combine model order selection and parameter estimation of ARX model based on PSO ...evaluated based on six case ...SMOPE-MS approach outperforms the basic SMOPE and has ...
6
Bayesian Approach in Estimation of Shape and Scale Parameter of Log-Weibull model
... Log-Weibull model is obtained when the logarithm of a nonnegative random variable follows the Weibull ...Log-Weibull model based on a complete sample under uniform ...Log-Weibull model 31T , ...
12
Mathematical Model and Parameter Estimation for Tumor Growth
... the approach to minimize general convex functions, or even general nonlinear functions f ...methods based on Conjugate Gradient Method, we only simply introduce one Nonlinear Conjugate Gradient Method in ...
82
Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... concentration based on data obtained using a non-focused ...shape parameter in the Nakagami ...unknown parameter of inverse Rayleigh distribution using Squared error and Linex loss ...the ...
12
A model based approach for state estimation for networks
... although estimation improved overall in that test as well, the results of certain links showed a deteriorating estimation, as the error values of these links kept increasing over ...
86
On coordination disambiguation in a generative parsing model, with memory based techniques for parameter estimation
... Resnik [1999] considers noun phrase coordinations of the form n l and n2 nS and of the form n l n2 and nS u4- The former has two possible structural analyses, for example a (bank and warehouse) guard and a (policeman) ...
138
Title: A Parameter Estimation Based Model for Worm Hole Preventive Route Optimization
... aspect based optimization can be achieved using preventive ...specific model can be applied to identify the attacked nodes and block the communication over these ...
6
A hierarchical Bayesian approach for parameter estimation in HIV models
... MCMC based methods will perform on estimation in complex models for HIV progression in untreated patients as well as in patients undergoing STI ...Bayesian approach to estimate the parameters at both ...
44
Parameter estimation techniques for a polarization hysteresis model
... in Figure 2 whereas those obtained using the same quadrature limits in the regularized functional are given in Figure 3. Without regularization, the ill-posedness associated with inversion of the compact integral ...
9
Parameter estimation for an allometric food web model
... mathematical model in the system under ...statistical model [7, 8], instead of formulating the inverse problem with ...ATN model and inverse problems when applied to our study ...statistical ...
49
Parameter estimation and model fitting of stochastic processes
... (GARCH) Model has been a popular and essential tool in modelling volatility, we study two types of multivariate GARCH model, the Constant Correlation and Dynamic Conditional Correlation GARCH models, in ...
164