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Huiming Wu and Sicong Guo
The switching system model of a closed-loop supply chain with Markov jump parameters is established. The system is modeled as a switching system with Markov jump parameters, taking into account the uncertainties of the process and the inventory decay fac...
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Tadashi Yamamoto and Toyohiro Hamaguchi
In this study, we aimed to evaluate the effectiveness of a brain robot in rehabilitation that combines motor imagery (MI), robotic motor assistance, and electrical stimulation. Thirteen in-patients with severe post-stroke hemiplegia underwent electroence...
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Leon Li
This paper advances a volatility-regime-switching mechanism to investigate the intensity and direction of the volatility spillover effect in carbon?energy markets. Switching between a low-volatility (LV) and high-volatility (HV) regime, our mechanism inv...
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Yi-Chang Chen, Hung-Che Wu, Yuanyuan Zhang and Shih-Ming Kuo
The aim of this study is to investigate the herding of beta transmission between return and volatility. We have used the dynamic conditional correlation model with the mixed-data sampling (DCC-MIDAS) model for the analysis. The evidence demonstrates that...
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Bachar FAKHRY
Pág. 1 - 42
We review market participants' actions and the EU afterthe introduction of the euro and during the crises period and Brexit process. The crucial factor is the feedback effect in the reactions of the market participants and the EU. The euro was introduced...
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Juri Hinz
In industrial applications, the processes of optimal sequential decision making are naturally formulated and optimized within a standard setting of Markov decision theory. In practice, however, decisions must be made under incomplete and uncertain inform...
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Byron J. Idrovo-Aguirre, Francisco J. Lozano and Javier E. Contreras-Reyes
In this paper, we approached the concept of real estate bubble, analyzing the risk its bursting could generate for the Chilean financial market. Specifically, we analyzed the relationship between real housing prices, the economic activity index, and mort...
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Katleho Makatjane and Ntebogang Moroke
During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alt...
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Qiao Yan, Xiaoqian Liu, Xiaoping Deng, Wei Peng and Guiqing Zhang
Prediction of energy use behaviors is a necessary prerequisite for designing personalized and scalable energy efficiency programs. The energy use behaviors of office occupants are different from those of residential occupants and have not yet been studie...
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Carl Hope Korkpoe, Nathaniel Howard
Pág. 69 - 79
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