Results 31 to 40 of about 19,982 (307)
Entropy Generation through a Deterministic Boundary-Layer Structure in Warm Dense Plasma
Entropy, 2014 The computational prediction of nonlinear interactive instabilities in three-dimensional boundary layers is obtained for a warm dense plasma boundary layer environment.
LaVar King Isaacson
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Non-Monotonic Complexity of Stochastic Model of the Channel Gating Dynamics
Entropy, 2023 The simple model of an ionic current flowing through a single channel in a biological membrane is used to depict the complexity of the corresponding empirical data underlying different internal constraints and thermal fluctuations. The residence times of
Lukasz Machura +3 more
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Long Memory and Volatility Clustering: is the empirical evidence consistent across stock markets? [PDF]
, 1994 Long memory and volatility clustering are two stylized facts frequently related to financial markets. Traditionally, these phenomena have been studied based on conditionally heteroscedastic models like ARCH, GARCH, IGARCH and FIGARCH, inter alia.
Bentes, Sonia R. +2 more
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Entropy, 2016 In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li +3 more
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From patterned response dependency to structured covariate dependency: categorical-pattern-matching [PDF]
, 2017 Data generated from a system of interest typically consists of measurements from an ensemble of subjects across multiple response and covariate features, and is naturally represented by one response-matrix against one covariate-matrix.
Fushing, Hsieh +3 more
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Entropy in the Tangled Nature Model of Evolution
Entropy, 2017 Applications of entropy principles to evolution and ecology are of tantamount importance given the central role spatiotemporal structuring plays in both evolution and ecological succession.
Ty N. F. Roach +4 more
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Automated Emotion Identification Using Fourier–Bessel Domain-Based Entropies
Entropy, 2022 Human dependence on computers is increasing day by day; thus, human interaction with computers must be more dynamic and contextual rather than static or generalized.
Aditya Nalwaya +2 more
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Entropy concentration and the empirical coding game [PDF]
Statistica Neerlandica, 2008 AbstractWe give a characterization of maximum entropy/minimum relative entropy inference by providing two ‘strong entropy concentration’ theorems. These theorems unify and generalize Jaynes’‘concentration phenomenon’ and Van Campenhout and Cover's ‘conditional limit theorem’.
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Entropy, 2015 The brain is a complex structure made up of interconnected neurons, and its electrical activities can be evaluated using electroencephalogram (EEG) signals. The characteristics of the brain area affected by partial epilepsy can be studied using focal and
Rajeev Sharma +2 more
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Minimax rates for conditional density estimation via empirical entropy
The Annals of Statistics, 2023 We consider the task of estimating a conditional density using i.i.d. samples from a joint distribution, which is a fundamental problem with applications in both classification and uncertainty quantification for regression. For joint density estimation, minimax rates have been characterized for general density classes in terms of uniform (metric ...
Bilodeau, Blair +2 more
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