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Quantile correlations and quantile autoregressive modeling [PDF]

open access: yesJournal of the American Statistical Association, 2012
In this paper, we propose two important measures, quantile correlation (QCOR) and quantile partial correlation (QPCOR). We then apply them to quantile autoregressive (QAR) models, and introduce two valuable quantities, the quantile autocorrelation ...
Li, Guodong, Li, Yang, Tsai, Chih-Ling
core   +5 more sources

Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients

open access: yesApplied Sciences, 2023
A crucial area of study in data mining is outlier detection, particularly in the areas of network security, credit card fraud detection, industrial flaw detection, etc.
Yuehua Huang   +4 more
doaj   +1 more source

Small area quantile estimation based on distribution function using linear mixed models

open access: yesEconomics and Business Review, 2021
In economic studies researchers are often interested in the estimation of the distribution function or certain functions of the distribution function such as quantiles.
Stachurski Tomasz
doaj   +1 more source

A New Generator of Probability Models: The Exponentiated Sine-G Family for Lifetime Studies

open access: yesEntropy, 2021
In this article, we propose the exponentiated sine-generated family of distributions. Some important properties are demonstrated, such as the series representation of the probability density function, quantile function, moments, stress-strength ...
Mustapha Muhammad   +6 more
doaj   +1 more source

Study of a Modified Kumaraswamy Distribution

open access: yesMathematics, 2021
In this article, a structural modification of the Kumaraswamy distribution yields a new two-parameter distribution defined on (0,1), called the modified Kumaraswamy distribution.
Rashad A. R. Bantan   +5 more
doaj   +1 more source

Quantile hedging [PDF]

open access: yesFinance and Stochastics, 1999
The paper deals with construction of a hedging strategy which maximizes the probability of a successful hedge under the objective measure \(P\), given a constraint on the required cost. This concept of quantile hedging can be considered as a dynamic version of the well-known value at risk concept. First the authors consider the general case of complete
Hans FÃllmer, Peter Leukert
openaire   +4 more sources

The Influence of Industrial Structure Upgrade on Coupling and Coordinated Development—Empirical Analysis From Chinese Pharmaceutical Manufacturing and Pharmaceutical Service Industries

open access: yesFrontiers in Public Health, 2021
The degree of coupling and coordination between the pharmaceutical manufacturing industry and the medical service industry crucially requires improvement by promoting the development of the pharmaceutical manufacturing industry through industrial ...
Meng Hu, Chunhai Tao, Hao Zhou
doaj   +1 more source

Time-Varying Risk Aversion and the Profitability of Carry Trades: Evidence from the Cross-Quantilogram

open access: yesEconomies, 2020
This paper examines the predictive power of time-varying risk aversion over payoffs to the carry trade strategy via the cross-quantilogram methodology.
Riza Demirer   +3 more
doaj   +1 more source

Bayesian quantile regression [PDF]

open access: yesWorking Paper Series, 2005
Recent work by Schennach(2005) has opened the way to a Bayesian treatment of quantile regression. Her method, called Bayesian exponentially tilted empirical likelihood (BETEL), provides a likelihood for data y subject only to a set of m moment conditions of the form Eg(y, θ) = 0 where θ is a k dimensional parameter of interest and k may be smaller ...
Tony Lancaster, Sung Jae Jun
openaire   +5 more sources

M-quantile regression analysis of temporal gene expression data [PDF]

open access: yes, 2009
In this paper, we explore the use of M-regression and M-quantile coefficients to detect statistical differences between temporal curves that belong to different experimental conditions.
Vinciotti, V, Yu, K
core   +1 more source

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