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A mean-CVaR-skewness portfolio optimization model based on asymmetric Laplace distribution
Annals of Operations Research, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shangmei Zhao +4 more
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Identification of ARX System Based on Shifted Asymmetric Laplace Distribution
2019 Chinese Control Conference (CCC), 2019The identification of AutoRegressive eXogenous (ARX) model by outliers is addressed in this paper. Shifted(non-centralized) asymmetric Laplace (SAL) distribution and expectation maximization (EM) algorithm are employed to estimate the unknown model ...
Miao Yu, Tianyi Zhang, Xianqiang Yang
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Asymmetric type II compound Laplace distribution and its application to microarray gene expression
Computational Statistics and Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastian George
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Quantile Regression Under Asymmetric Laplace Distribution in Capital Asset Pricing Model
Econometrics of Risk, 2015We used a quantile regression under asymmetric Laplace distribution for predicting stock returns. Specifically, we apply this method to the classical capital asset pricing model (CAPM) to estimate the beta coefficient which measure risk in the portfolios management analysis at given levels of quantile.
K. Autchariyapanitkul +2 more
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Matrix-variate shifted generalized asymmetric Laplace distribution
Japanese Journal of Statistics and Data ScienceJhonata da Silva Pereira +2 more
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Journal of Statistical Computation and Simulation, 2023
We propose flexible Bayesian quantile regression for a class of parametric nonlinear mixed effects models for longitudinal data based on the generalized asymmetric Laplace distribution, which exhibits more flexibility in skewness, mode and tail behaviour
Hanjun Yu, Lichao Yu
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We propose flexible Bayesian quantile regression for a class of parametric nonlinear mixed effects models for longitudinal data based on the generalized asymmetric Laplace distribution, which exhibits more flexibility in skewness, mode and tail behaviour
Hanjun Yu, Lichao Yu
semanticscholar +1 more source
A capital asset pricing model based on the value at risk under asymmetric Laplace distribution
Kybernetes, 2023PurposeFinancial asset return series usually exhibit nonnormal characteristics such as high peaks, heavy tails and asymmetry. Traditional risk measures like standard deviation or variance are inadequate for nonnormal distributions. Value at Risk (VaR) is
Lili Wu, Shulin Xu
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A Multivariate and Asymmetric Generalization of Laplace Distribution
Computational Statistics, 2000The authors describe the class of multivariate and not necessarily symmetric distributions called asymmetric Laplace (AL) laws that naturally extend properties and reduce to Laplace distribution in one dimension. Explicit forms of characteristic functions and densities of AL laws are presented, their properties are discussed, a representation that ...
Tomasz J. Kozubowski +1 more
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Canadian journal of statistics, 2020
We propose a flexible Bayesian semiparametric quantile regression model based on Dirichlet process mixtures of generalized asymmetric Laplace distributions for fitting curves with shape restrictions.
Genya Kobayashi +3 more
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We propose a flexible Bayesian semiparametric quantile regression model based on Dirichlet process mixtures of generalized asymmetric Laplace distributions for fitting curves with shape restrictions.
Genya Kobayashi +3 more
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Asymmetric Laplace Distributions
2001Chapter 3 is devoted to asymmetric Laplace distributions — a skewed family of distributions that in our opinion is the most appropriate skewed generalization of the classical Laplace law. In the last several decades, various forms of skewed Laplace distributions have sporadically appeared in the literature.
Samuel Kotz +2 more
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