Results 21 to 30 of about 366,408 (290)

The exponentiated generalized inverse Gaussian distribution

Statistics & Probability Letters, 2011
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Lemonte, Artur J., Cordeiro, Gauss M.
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Data-driven airborne bayesian forward-looking superresolution imaging based on generalized Gaussian distribution

Frontiers in Signal Processing, 2023
Airborne forward-looking radar (AFLR) has been more and more impoatant due to its wide application in the military and civilian fields, such as automatic driving, sea surveillance, airport surveillance and guidance.
Hongmeng Chen, Zeyu Wang, Yingjie Zhang, Xing Jin, Wenquan Gao, Jizhou Yu   +5 more
doaj   +1 more source

A simple probabilistic construction yielding generalized entropies and divergences, escort distributions and q-Gaussians [PDF]

, 2012
We give a simple probabilistic description of a transition between two states which leads to a generalized escort distribution. When the parameter of the distribution varies, it defines a parametric curve that we call an escort-path.
Abe, Abe, Amari, Barankin, Beck, Bercher, Bercher, Bercher, Burbea, Campbell, Chernoff, Chhabra, Cover, Crooks, Ellis, Frieden, Frieden, Hammad, J.-F. Bercher, Kawai, Lutz, Nulton, Ohara, Ohara, Parrondo, Pennini, Pennini, Pennini, Pino, Rao, Rényi, Schwämmle, Shenfeld, Tsallis, Tsallis, Weinhold   +35 more
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Generalizing the isothermal efficiency by using Gaussian distributions

PLOS ONE, 2022
AbstractUnlike the Carnot heat engine efficiency published in 1824, an isothermal efficiency derived from thermodynamics and information theory can be applied to biological systems. The original approach by Pierce and Cutler in 1959 to derive the isothermal efficiency equation came from Shannon’s channel capacity of 1949 and from Felker’s 1952 ...
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Learning general halfspaces with general Massart noise under the Gaussian distribution

Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022
We study the problem of PAC learning halfspaces on $\mathbb{R}^d$ with Massart noise under the Gaussian distribution. In the Massart model, an adversary is allowed to flip the label of each point $\mathbf{x}$ with unknown probability $η(\mathbf{x}) \leq η$, for some parameter $η\in [0,1/2]$. The goal is to find a hypothesis with misclassification error
Diakonikolas, Ilias, Kane, Daniel M, Kontonis, Vasilis, Tzamos, Christos, Zarifis, Nikos   +4 more
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The New Odd Log-Logistic Generalized Inverse Gaussian Regression Model

Journal of Probability and Statistics, 2019
We define a new four-parameter model called the odd log-logistic generalized inverse Gaussian distribution which extends the generalized inverse Gaussian and inverse Gaussian distributions. We obtain some structural properties of the new distribution. We
Julio Cezar Souza Vasconcelos, Gauss M. Cordeiro, Edwin M. M. Ortega, Elton G. Araújo   +3 more
doaj   +1 more source

A Fractional Fokker-Planck Model for Anomalous Diffusion [PDF]

, 2014
In this paper we present a study of anomalous diffusion using a Fokker-Planck description with fractional velocity derivatives. The distribution functions are found using numerical means for varying degree of fractionality observing the transition from a
Eun-jin Kim, Johan Anderson, Khintchine A. Y., Lévy P., Mandelbrot B. B., Sara Moradi, Zaslavsky G. M.   +6 more
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Non-Gaussian effects of the Saha’s ionization in the early universe

European Physical Journal C: Particles and Fields, 2022
Tsallis’ thermostatistical has received increasing attention due to its success in describing phenomena that manifest unusual thermodynamic properties.
L. L. Sales, F. C. Carvalho, E. P. Bento, H. T. C. M. Souza   +3 more
doaj   +1 more source

Time series models with an EGB2 conditional distribution [PDF]

, 2013
A time series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers.
Caivano, Michele, Harvey, Andrew
core   +4 more sources

A Stein characterisation of the generalized hyperbolic distribution [PDF]

, 2017
The generalized hyperbolic (GH) distributions form a five parameter family of probability distributions that includes many standard distributions as special or limiting cases, such as the generalized inverse Gaussian distribution, Student's $t ...
Barbour, Barndorff-Nielsen, Barndorff-Nielsen, Chatterjee, Chatterjee, Chen, Diaconis, Döbler, Döbler, Eberlein, Eichelsbacher, Eichelsbacher, Gaunt, Gaunt, Goldstein, Götze, Koudou, Ley, Mackey, Madan, Peköz, Peköz, Peköz, Pike, Robert E. Gaunt, Ross, Schoutens, Scott   +27 more
core   +3 more sources