Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package [PDF]
, 2017 Raftery, Karny, and Ettler (2010) introduce an estimation technique, which they refer to as Dynamic Model Averaging (DMA). In their application, DMA is used to predict the output strip thickness for a cold rolling mill, where the output is measured with ...
Catania, Leopoldo, Nonejad, Nima
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Efficient Hardware Realization of a New Variable Regularized PAST Algorithm With Multiple Deflation
IEEE Access, 2021 This paper proposes a new variant of the projection approximation subspace tracking (PAST) algorithm with multiple deflation (MD) and its efficient hardware architecture.
Wei Zhao +2 more
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Intentional and non-intentional non-adherence to medication amongst breast cancer patients [PDF]
, 2005 This study aimed to investigate the prevalence of and factors associated with non-adherence to medication amongst a sample of breast cancer patients. 131 women with stable disease were interviewed and completed standardised psychological measures. 55% of
Demissie +17 more
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Variable Forgetting Factor Least-squares Identification Algorithm: A Convergence Analysis
IFAC Proceedings Volumes, 1988 Abstract This paper studies the convergences of the least-squares identification algorithm with variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and stochastic perturbations is analysed.
Canetti, Rafael, España, Martín D
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High Order Feedback-Feedforward Iterative Learning Control Scheme with a Variable Forgetting Factor
International Journal of Advanced Robotic Systems, 2016 In this work, we present a new iterative learning control (ILC) scheme for a class of non-linear systems with uncertain and non-repetitive disturbances, in order to achieve perfect tracking by proposing a high order feedback-feedforward ILC algorithm ...
Hongbin Wang, Jian Dong, Yueling Wang
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Linearly Constrained RLS Algorithm with Variable Forgetting Factor for DS-CDMA Systems [PDF]
[[abstract]]In this paper we present a novel linearly constrained (LC) RLS algorithm with variable forgetting factor (VFF), and apply to the DS-CDMA system for suddenly joined narrowband interference suppression. Under Rayleigh fading channel environment,
[[corresponding]]Chern, Shiunn-Jang +1 more
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Network-aware Evaluation Environment for Reputation Systems [PDF]
, 2013 Parties of reputation systems rate each other and use ratings to compute reputation scores that drive their interactions. When deciding which reputation model to deploy in a network environment, it is important to find the most suitable model and to ...
A. Jøsang +8 more
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Energies, 2017 State-of-charge (SOC) estimations of Li-ion batteries have been the focus of many research studies in previous years. Many articles discussed the dynamic model’s parameters estimation of the Li-ion battery, where the fixed forgetting factor recursive ...
Ibrahim M. Safwat, Weilin Li, Xiaohua Wu
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Improved Multiple-Model Adaptive Estimation Method for Integrated Navigation with Time-Varying Noise
Sensors, 2022 The accurate noise parameter is essential for the Kalman filter to obtain optimal estimates. However, problems such as variations in the noise environment and measurement anomalies can cause degradation of estimation accuracy or even divergence.
Jinhao Song +6 more
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How quickly they forget:The relationship between forgetting and working memory performance [PDF]
, 2014 This study examined the contribution of individual differences in rate of forgetting to variation in working memory performance in children. One hundred and twelve children (mean age 9 years 4 months) completed 2 tasks designed to measure forgetting, as ...
Bayliss, Donna M., Jarrold, Christopher
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