Results 11 to 20 of about 16,837,259 (303)
Large time-varying parameter VARs [PDF]
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Koop, Gary, Korobilis, Dimitris
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Expected Optimal Feedback with Time-Varying Parameters [PDF]
In this paper we derive the closed loop form of the Expected Optimal Feedback rule,sometimes called passive learning stochastic control, with time varying parameters.As such this paper extends the work of Kendrick (1981,2002, Chapter 6) whereparameters are assumed to vary randomly around a known constant mean.Furthermore, we show that the cautionary ...
Tucci, Marco P. +2 more
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Minimum Hellinger distance estimates for a periodically time-varying long memory parameter
We consider a purely fractionally deferenced process driven by a periodically time-varying long memory parameter. We will build an estimate for the vector parameters using the minimum Hellinger distance estimation.
Amimour, Amine +2 more
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Hierarchical Shrinkage in Time-Varying Parameter Models [PDF]
ABSTRACTIn this paper, we forecast EU area inflation with many predictors using time‐varying parameter models. The facts that time‐varying parameter models are parameter rich and the time span of our data is relatively short motivate a desire for shrinkage.
Belmonte, Miguel A. G. +2 more
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Boundary Control for Cascaded System of Nonlinear ODE/Hyperbolic PDE With Time-Varying Parameter
Boundary control for a nonlinear system actuated by a first-order time-varying hyperbolic partial differential equation is investigated. Two-step backstepping transformation is applied during the design.
Cong Lin, Xiushan Cai
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Dynamic joint stiffness is a dynamic, nonlinear relationship between the position of a joint and the torque acting about it, which can be used to describe the biomechanics of the joint and associated limb(s).
Mahsa A. Golkar +2 more
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Dynamic Response and Parameter Analysis of Electromagnetic Railguns under Time Varying Moving Loads
During the launch process of an electromagnetic railgun, the armature is subjected to the ampere force and moves along the rail with variable acceleration.
Lilan Liu, Xukai Zhang, Jiayi Wang
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Optimizing Physics-Informed Neural Network in Dynamic System Simulation and Learning of Parameters
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems.
Ebenezer O. Oluwasakin +1 more
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H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems [PDF]
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Wiley-BlackwellIn this paper, the H∞ and l2–l∞ filtering problem is investigated for two-dimensional (2-D) discrete-time ...
Wang, Z, Wu, L, Gao, H, Wang, C
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Modal Parameter Identification of Time-varying System Based on Time Frequency Slice Decomposition
System parameter identification can be divided into two research directions: time-invariant system parameter identification and time-varying system parameter identification. The research on time-invariant system parameter identification has become mature,
Chen Qi, Shi Zhiyu, Zhang Jie
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