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The generalized sigmoidal quantile function. [PDF]

open access: yesCommun Stat Simul Comput, 2022
In this note we introduce a new smooth nonparametric quantile function estimator based on a newly defined generalized expectile function and termed the sigmoidal quantile function estimator. We also introduce a hybrid quantile function estimator, which combines the optimal properties of the classic kernel quantile function estimator with our new ...
Hutson AD.
europepmc   +4 more sources

Function-on-function linear quantile regression

open access: yesMathematical Modelling and Analysis, 2022
In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish a more flexible and robust approach. The proposed model is first transformed into a finitedimensional space
Ufuk Beyaztas, Han Lin Shang
doaj   +7 more sources

Functional quantile principal component analysis. [PDF]

open access: yesBiostatistics
Summary This paper introduces functional quantile principal component analysis (FQPCA), a dimensionality reduction technique that extends the concept of functional principal components analysis (FPCA) to the examination of participant-specific quantiles curves.
Méndez-Civieta Á   +3 more
europepmc   +3 more sources

Power Prior Elicitation in Bayesian Quantile Regression [PDF]

open access: yesJournal of Probability and Statistics, 2011
We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of ...
Rahim Alhamzawi, Keming Yu
doaj   +3 more sources

Function-on-Function Partial Quantile Regression [PDF]

open access: yesJournal of Agricultural, Biological and Environmental Statistics, 2021
30 pages, 5 figures, to appear at the Journal of Agricultural, Biological and Environmental ...
Ufuk Beyaztas, Han Lin Shang, Aylin Alin
openaire   +6 more sources

Some Reliability Properties of Extropy and its Related Measures Using Quantile Function

open access: yesStatistica, 2021
Extropy is a recent addition to the family of information measures as a complementary dual of Shannon entropy, to measure the uncertainty contained in a probability distribution of a random variable.
Aswathy Sree Krishnan   +2 more
doaj   +1 more source

A Truncated General-G Class of Distributions with Application to Truncated Burr-G Family

open access: yesRevstat Statistical Journal, 2021
In this paper, we introduce a truncated general-G class of distributions. This class can be viewed as a weighted family of distributions with a general weight function, and also it generalizes the beta generator family proposed by Eugene et al.
Farrukh Jamal   +2 more
doaj   +1 more source

The Zografos-Balakrishnan Lindley Distribution: Properties and Applications

open access: yesStatistica, 2021
The Lindley distribution was proposed in the context of Bayesian statistics as a counter example of fiducial statistics. In this paper, we propose Zografos Balakrishnan Lindley (ZBL) distribution in which Lindley distribution is a special case.
Muhammed Rasheed Irshad   +2 more
doaj   +1 more source

Estimation for Extreme Conditional Quantiles of Functional Quantile Regression

open access: yesStatistica Sinica, 2023
Quantile regression as an alternative to modeling the conditional mean function provides a comprehensive picture of the relationship between a response and covariates. It is particularly attractive in applications focused on the upper or lower conditional quantiles of the response. However, conventional quantile regression estimators are often unstable
Zhu, Hanbing   +3 more
openaire   +2 more sources

Dynamic Quantile Function Models [PDF]

open access: yesSSRN Electronic Journal, 2017
Motivated by the need for effectively summarising, modelling, and forecasting the distributional characteristics of intra-daily returns, as well as the recent work on forecasting histogram-valued time-series in the area of symbolic data analysis, we develop a time-series model for forecasting quantile-function-valued (QF-valued) daily summaries for ...
Wilson Ye Chen   +3 more
openaire   +2 more sources

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