Results 11 to 20 of about 2,394 (199)

Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior

open access: yesRemote Sensing, 2023
Deep image prior (DIP) is a powerful technique for image restoration that leverages an untrained network as a handcrafted prior. DIP can also be used for hyperspectral image (HSI) denoising tasks and has achieved impressive performance.
Yifan Wang   +5 more
doaj   +1 more source

Some Generalizations of Weibull Distribution and Related Processes [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
A new class of distributions containing Marshall-Olkin extended Weibull distribution is introduced. The role of this distribution in the study of minification process is established.
K. Jayakumar, M. Girish Babu
doaj   +1 more source

RECORD RANGES FOR SAMPLES FROM ASYMMETRICAL LAPLACE DISTRIBUTIONS [PDF]

open access: yesJournal of Statistical Theory and Applications, 2018
The representations of record ranges via sums of independent identically distributed exponential random variables are obtained for asymmetrical Laplace distributions. This result generalizes the corresponding relations for record values in the cases of exponential and negative exponential ...
I.V. BELKOV   +2 more
openaire   +2 more sources

Mixtures of Shifted Asymmetric Laplace Distributions [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
In this thesis we introduce a mixture of shifted asymmetric Laplace (SAL) distributions for model-based clustering and classification. The mixture of SAL distributions allows for the parameterization of skewness as well as location and scale. Furthermore, we extend the general SAL mixture by decomposing the component scale matrices; this results in two
Brian C. Franczak   +2 more
openaire   +5 more sources

Poissonian resetting of subdiffusion in a linear potential

open access: yesCondensed Matter Physics, 2023
Resetting a stochastic process is an important problem describing the evolution of physical, biological and other systems which are continually returned to their certain fixed point. We consider the motion of a subdiffusive particle with a constant drift
A. A. Stanislavsky
doaj   +1 more source

Bayesian composite quantile regression for the single-index model.

open access: yesPLoS ONE, 2023
By using a Gaussian process prior and a location-scale mixture representation of the asymmetric Laplace distribution, we develop a Bayesian analysis for the composite quantile single-index regression model.
Xiaohui Yuan, Xuefei Xiang, Xinran Zhang
doaj   +1 more source

Simulation Study The Using of Bayesian Quantile Regression in Nonnormal Error

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2018
The purposes of this paper is  to introduce the ability of the Bayesian quantile regression method in overcoming the problem of the nonnormal errors using asymmetric laplace distribution on simulation study.
Catrin Muharisa   +2 more
doaj   +1 more source

Interaction between Yarkovsky force and mean-motion resonances: Some specific properties [PDF]

open access: yesSerbian Astronomical Journal, 2016
Recently, we analyzed the role of mean-motion resonances in semi-major axis mobility of asteroids, and established a functional relationship that describes the dependence of the average time spent inside the resonance on the strength of this ...
Milić-Žitnik I.
doaj   +1 more source

evgam: An R Package for Generalized Additive Extreme Value Models

open access: yesJournal of Statistical Software, 2022
This article introduces the R package evgam. The package provides functions for fitting extreme value distributions. These include the generalized extreme value and generalized Pareto distributions.
Benjamin D. Youngman
doaj   +1 more source

Quantile regression for longitudinal data using the asymmetric Laplace distribution [PDF]

open access: yesBiostatistics, 2006
In longitudinal studies, measurements of the same individuals are taken repeatedly through time. Often, the primary goal is to characterize the change in response over time and the factors that influence change. Factors can affect not only the location but also more generally the shape of the distribution of the response over time.
GERACI M, BOTTAI M
openaire   +2 more sources

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