The multivariate asymmetric slash Laplace distribution and its applications [PDF]
Statistica, 2013 We have introduced a multivariate asymmetric-slash Laplace distribution, a flexible distribution that can take skewness and heavy tails into account. This distribution is useful in simulation studies where it can introduce distributional challenges in ...
Bindu Punathumparambath
doaj +4 more sources
Robust LPV models identification approach based on shifted asymmetric Laplace distribution
Measurement + Control, 2021 This paper focuses on the robust parameters estimation algorithm of linear parameters varying (LPV) models. The classical robust identification techniques deal with the polluted training data, for example, outliers in white noise.
Chao Xu, Xianqiang Yang, Miao Yu
doaj +2 more sources
Asymmetric wall-stress heterogeneity defines a stretch-activated arrhythmogenic substrate beyond ejection fraction in dilated cardiomyopathy: an in silico study [PDF]
Frontiers in PhysiologyIn dilated cardiomyopathy (DCM), sudden cardiac death from ventricular arrhythmia occurs unpredictably among patients with similar ejection fraction (EF), and EF performs poorly as an individual risk predictor.
Arnav Amit
doaj +2 more sources
A new weighted distribution based on the mixture of asymmetric Laplace family with application in survival analysis [PDF]
Journal of Mahani Mathematical Research, 2023 The generalization of asymmetric Laplace (AL) distribution has recently received considerable attention in dealing with skewed and long-tailed data. In this article, we introduce a new family of distributions based on the location mixture of asymmetric ...
Narjes Gilani, Reza Pourmousa
doaj +1 more source
A Cross-Sectional Analysis of Growth and Profit Rate Distribution: The Spanish Case
Mathematics, 2022 We analyse the time evolution of the empirical cross-sectional distribution of firms’ profit and growth rates. In particular, we analyse the conditional properties of the empirical distributions depending on the size of the firms and the business cycle ...
David Vidal-Tomás +3 more
doaj +1 more source
A Mixture Autoregressive Model Based on an Asymmetric Exponential Power Distribution
Axioms, 2023 In nonlinear time series analysis, the mixture autoregressive model (MAR) is an effective statistical tool to capture the multimodality of data. However, the traditional methods usually need to assume that the error follows a specific distribution that ...
Yunlu Jiang, Zehong Zhuang
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source