Results 1 to 10 of about 237,312 (263)
Extreme value statistics of nerve transmission delay. [PDF]
PLoS ONEDelays in nerve transmission are an important topic in the field of neuroscience. Spike signals fired or received by the dendrites of a neuron travel from the axon to a presynaptic cell.
Satori Tsuzuki
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Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL) [PDF]
EntropyArguably, the most fundamental problem in Network Science is finding structure within a complex network. Often, this is achieved by partitioning the network’s nodes into communities in a way that maximizes an objective function.
Tania Ghosh +2 more
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Extreme Value Statistics for Evolving Random Networks
Mathematics, 2023 Our objective is to survey recent results concerning the evolution of random networks and related extreme value statistics, which are a subject of interest due to numerous applications.
Natalia Markovich, Marijus Vaičiulis
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Condensation and extreme value statistics [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2008 We study the factorised steady state of a general class of mass transport models in which mass, a conserved quantity, is transferred stochastically between sites. Condensation in such models is exhibited when above a critical mass density the marginal distribution for the mass at a single site develops a bump, $p_{\rm cond}(m)$, at large mass $m$. This
Evans, Martin R., Majumdar, Satya N.
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New extreme rainfall projections for improved climate resilience of urban drainage systems
Climate Services, 2023 Climate services must provide robust estimates of future changes to precipitation extremes to inform flood risk management and to assess the resilience of existing urban drainage systems in a changing climate.
Steven C. Chan +5 more
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EXTREME VALUE STATISTICS IN SEMI-SUPERVISED MODELS [PDF]
SSRN Electronic Journal, 2021 We consider extreme value analysis in a semi-supervised setting, where we observe, next to the n data on the target variable, n + m data on one or more covariates. This is called the semi-supervised model with n labeled and m unlabeled data. By exploiting the tail dependence between the target variable and the covariates, we derive estimators for the ...
Hanan Ahmed +2 more
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The Effect of a Short Observational Record on the Statistics of Temperature Extremes
Geophysical Research Letters, 2023 In June 2021, the Pacific Northwest experienced a heatwave that broke all previous records. Estimated return levels based on observations up to the year before the event suggested that reaching such high temperatures is not possible in today's climate ...
Joel Zeder +4 more
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Extreme-value statistics of stochastic transport processes
New Journal of Physics, 2020 We derive exact expressions for the finite-time statistics of extrema (maximum and minimum) of the spatial displacement and the fluctuating entropy flow of biased random walks.
Alexandre Guillet +2 more
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Extreme Value Statistics in Silicon Photonics
IEEE Photonics Journal, 2009 L-shape probability distributions are extremely non-Gaussian functions that have been surprisingly successful in describing the occurrence of extreme events ranging from stock market crashes, natural disasters, structure of biological systems, fractals ...
D. Borlaug, S. Fathpour, B. Jalali
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Climate change allowances, non‐stationarity and flood frequency analyses
Journal of Flood Risk Management, 2022 When considering future adaptation to climate change in UK fluvial flood alleviation schemes, the current recommendation by the Environment Agency (England) is to increase peak design flood flows by a preselected percentage.
Adam Griffin +3 more
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