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Modeling Model Uncertainty [PDF]
Journal of the European Economic Association, 2002 Recently there has been a great deal of interest in studying monetary policy under model uncertainty. We point out that different assumptions about the uncertainty may result in drastically different robust' policy recommendations.
Alexei Onatski, Noah Williams
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Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients
Bioengineering, 2023 Gait disturbances are common manifestations of Parkinson’s disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) are capable of monitoring gait, but they lack neurophysiological information that may be crucial for studying gait ...
Stefan Haufe +3 more
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Reliability-based Probabilistic Wind Power Planning Considering Correlation of Load and Wind [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2022 Wind power has been considered a future alternative to fossil energy resources. However, due to its stochastic nature, the integration of wind power plants (WPPs) into power systems poses some reliability problems such as a mismatch between load profile ...
Morteza Jadidoleslam +1 more
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A New Stochastic Model for Bus Rapid Transit Scheduling with Uncertainty
Future Transportation, 2022 Nowadays, authorities of large cities in the world implement bus rapid transit (BRT) services to alleviate traffic problems caused by the significant development of urban areas.
Milad Dehghani Filabadi +4 more
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Nested Models and Model Uncertainty [PDF]
The Scandinavian Journal of Economics, 2015 AbstractUncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions).
Kriwoluzky, A., Stoltenberg, C.A.
openaire +7 more sources
Energies, 2022 Multi-energy systems (MES) allow various energy forms, such as electricity, gas, and heat, to interact and achieve energy transfer and mutually benefit, reducing the probability of load cutting in the event of a failure, increasing the energy utilization
Ziyan Liao, Alessandra Parisio
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Dasymetric Modeling and Uncertainty [PDF]
Annals of the Association of American Geographers, 2013 Dasymetric models increase the spatial resolution of population data by incorporating related ancillary data layers. The role of uncertainty in dasymetric modeling has not been fully addressed as of yet. Uncertainty is usually present because most population data are themselves uncertain, and/or the geographic processes that connect population and the ...
Nagle, Nicholas N. +3 more
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Sensor Modeling for Underwater Localization Using a Particle Filter
Sensors, 2021 This paper presents a framework for processing, modeling, and fusing underwater sensor signals to provide a reliable perception for underwater localization in structured environments.
Humberto Martínez-Barberá +2 more
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Journal of Natural Fibers, 2022 The main objective of this study was to determine the mechanical properties and their analysis using uncertainty analysis of biodegradable Jute fabric composite.
Kumar Maharshi, Shivdayal Patel
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UNCERTAINTY IN TMDL MODELS [PDF]
Transactions of the ASABE, 2006 Although the U.S. Congress established the Total Maximum Daily Load (TMDL) program in the original Clean Water Act of 1972, Section 303(d), it did not receive attention until the 1990s. Currently, two methods are available for tracking pollution in the environment and assessing the effectiveness of the TMDL process on improving the quality of impaired ...
Shirmohammadi, A. +11 more
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