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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 develop new methods to analyze different sources of uncertainty in one coherent structure, which is useful for policy decisions. We show how to estimate the size of the uncertainty based on time series data, and how to incorporate this uncertainty ...
Onatski, Alexei, Williams, Noah
core +9 more sources
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration [PDF]
IEEE International Conference on Computer Vision, 2021 Confidence calibration is of great importance to the reliability of decisions made by machine learning systems. However, discriminative classifiers based on deep neural networks are often criticized for producing overconfident predictions that fail to ...
Yezhen Wang +5 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
Review of Uncertainty Modeling for Optimal Operation of Integrated Energy System
Frontiers in Energy Research, 2022 The operation of the integrated energy system will be affected by uncertainties, leading to sub-optimal design decisions. Accurate and effective modeling of these uncertainties is essential to ensure the optimal integration of renewable energy in the ...
H. Fan +3 more
semanticscholar +1 more source
Uncertainty Modeling with Second-Order Transformer for Group Re-identification
AAAI Conference on Artificial Intelligence, 2022 Group re-identification (G-ReID) focuses on associating the group images containing the same persons under different cameras. The key challenge of G-ReID is that all the cases of the intra-group member and layout variations are hard to exhaust.
Quan Zhang +3 more
semanticscholar +1 more source
Protection and Control of Modern Power Systems, 2021 Large-scale integration of wind power generation decreases the equivalent inertia of a power system, and thus makes frequency stability control challenging.
Cheng Yan +4 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source