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Enhancing MPPT performance of a grid-connected Doubly-Fed induction generator-based wind power plant using hybrid ANFIS-PI control strategy. [PDF]
Sci RepBiyazne LW +3 more
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Optimized fault-tolerant data processing module for high-reliability CNN accelerator. [PDF]
PLoS OneYoon SK, Lee SH, Jo J, Lee YW.
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Crossings of max-stable processes
Journal of Applied Probability, 1994The expected number of upcrossings for a max-stable process is computed and compared with known results for stable processes. Asymptotically the formulas are of the same order.
Davis, Richard A., Resnick, Sidney I.
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2020
The first class of regularly varying time series we will investigate is the class of max-stable processes. These processes can be viewed as ideal models of heavy tailed time series.
Rafał Kulik, Philippe Soulier
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The first class of regularly varying time series we will investigate is the class of max-stable processes. These processes can be viewed as ideal models of heavy tailed time series.
Rafał Kulik, Philippe Soulier
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Tukey max-stable processes for spatial extremes
Spatial Statistics, 2016Abstract We propose a new type of max-stable process that we call the Tukey max-stable process for spatial extremes. It brings additional flexibility to modeling dependence structures among spatial extremes. The statistical properties of the Tukey max-stable process are demonstrated theoretically and numerically. Simulation studies and an application
Ganggang Xu, Marc G. Genton
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Max-infinitely divisible and max-stable sample continuous processes
Probability Theory and Related Fields, 1990Conditions for a process \(\xi\) on a compact metric space \({\mathcal S}\) to be simultaneously max-infinitely divisible and sample continuous are obtained. Although they fall short of a complete characterization of such processes, these conditions yield complete descriptions of the sample continuous non-degerate max-stable processes on \({\mathcal S}\
Giné, Evarist +2 more
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2013
Environmental problems such as floods require statistical analysis that takes into account the complex nature of the data, namely observations are sampled at different spatial points in a given region for a certain time. Thus the spatial dependence structure cannot be ignored.
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Environmental problems such as floods require statistical analysis that takes into account the complex nature of the data, namely observations are sampled at different spatial points in a given region for a certain time. Thus the spatial dependence structure cannot be ignored.
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Extremal stochastic integrals: a parallel between max-stable processes and α-stable processes
Extremes, 2005The paper is devoted to construction of extremal stochastic integrals by random \(\alpha\)-Fréchet sup-measures and investigation of their properties, specially, connections with \(\alpha\)-stable integrals. A r.v. \(\xi\) has \(\alpha\)-Fréchet distribution \(F(\alpha,\sigma)\) if \(P\{\xi\leq x\}=\exp(-\sigma^\alpha x^{-\alpha})\), \(x>0\).
Stoev, Stilian A., Taqqu, Murad S.
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