Results 21 to 30 of about 84,899 (205)
Hyperspectral Denoising Using Asymmetric Noise Modeling Deep Image Prior
Remote 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
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Some Generalizations of Weibull Distribution and Related Processes [PDF]
Journal 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
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RECORD RANGES FOR SAMPLES FROM ASYMMETRICAL LAPLACE DISTRIBUTIONS [PDF]
Journal 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
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Poissonian resetting of subdiffusion in a linear potential
Condensed 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
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Mixtures of Shifted Asymmetric Laplace Distributions [PDF]
IEEE 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
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Bayesian composite quantile regression for the single-index model.
PLoS 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
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, 2021 In the present paper we discuss the forecasting ability of the VaR model, within the context of a Generalized Autoregressive Score (GAS). The proposed method considers an Asymmetric Laplace Distribution (GAS-ALD) to describe the daily log-returns of the ...
Dima Bogdan, D. Maria, Ioan Roxana
semanticscholar +1 more source
Inference for grouped data with a truncated skew-Laplace distribution [PDF]
, 2010 The skew-Laplace distribution has been used for modelling particle size with point observations. In reality, the observations are truncated and grouped (rounded).
Rubio, Francisco J., Steel, Mark F. J.
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Simulation Study The Using of Bayesian Quantile Regression in Nonnormal Error
Cauchy: 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
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A note on the multivariate generalized asymmetric Laplace motion [PDF]
, 2020 In this note we use multivariate subordination to introduce a multivariate extension of the generalized asymmetric Laplace motion. The class introduced provides a unified framework for several multivariate extensions of the popular variance gamma ...
Semeraro, Patrizia
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