Results 1 to 10 of about 613,567 (125)
A Stochastic Lomax Diffusion Process: Statistical Inference and Application
Mathematics, 2021 In this paper, we discuss a new stochastic diffusion process in which the trend function is proportional to the Lomax density function. This distribution arises naturally in the studies of the frequency of extremely rare events.
Ahmed Nafidi +2 more
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Circuit Power Consumption Estimation Method Based on ROBDD [PDF]
Jisuanji gongcheng, 2016 When the power consumption estimated by the probability power estimation method is used as the cost function for power optimization,the limitations of the methods themselves or ignoring the characteristics of the circuit node lead to lower accuracy of ...
LI Qiongying,XIA Yinshui,ZHANG Junli
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Nuclear Engineering and Technology, 2021 The transition toward clean energy is an issue of great importance with growing debate in climate change mitigation. The complex nature of nuclear energy-CO2 emissions nexus makes it difficult to predict whether or not nuclear acts as a clean energy ...
Danish, Burcu Ozcan, Recep Ulucak
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Sensors, 2020 The focus of this research is on the estimation of traffic density from data obtained from Connected and Autonomous Probes (CAPs). CAPs pose an advantage over expensive and invasive infrastructure such as loop detectors.
Daisik Nam +4 more
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Bayesian synthetic likelihood for stochastic models with applications in mathematical finance
Frontiers in Applied Mathematics and Statistics, 2023 We present a Bayesian synthetic likelihood method to estimate both the parameters and their uncertainty in systems of stochastic differential equations.
Ramona Maraia +4 more
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Mottness induced superfluid phase fluctuation with increased density
New Journal of Physics, 2022 Recent observation of diminishing superfluid phase stiffness upon increasing carrier density in cuprate high-temperature superconductors is unexpected from the quantum density-phase conjugation of superfluidity.
Zi-Jian Lang, Fan Yang, Wei Ku
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Advances in Applied Energy, 2021 Power system decarbonization is critical for combating climate change, and handling systems uncertainties is essential for designing robust renewable transition pathways.
Ning Zhao, Fengqi You
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Earth, Planets and Space, 2022 A rapid source fault estimation and quantitative assessment of the uncertainty of the estimated model can elucidate the occurrence mechanism of earthquakes and inform disaster damage mitigation.
Taisuke Yamada +2 more
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IEEE Access, 2021 We model the tracking of Bluetooth low-energy (BLE) transmitters as a three layer hidden Markov model with joint state and parameter estimation. We are after a filtering distribution by Bayesian approximation using Monte Carlo sampling techniques.
F. Serhan Danis +2 more
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Affine Transformations of Itô Diffusions and their Transition Densities
Walailak Journal of Science and Technology, 2011 For a given Itô diffusion, we derive the forward Kolmogorov equation (FKE) associated with the adjoint operator of the infinitesimal generator of an affine transformation of the given Itô diffusion. The fundamental solution obtained by solving the FKE is,
Sanae RUJIVAN
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