Results 41 to 50 of about 137,194 (317)

Unveiling the Dynamics of Financial Institutions and Markets in Shaping Economic Prosperity in MENA

open access: yesInternational Journal of Financial Studies, 2023
This research explored the relationship between financial development and economic growth in the MENA region from 1996 to 2022. Using panel data, it assessed whether financial institutions and financial markets had differing impacts on economic growth ...
Ali Shaddady
doaj   +1 more source

Bayesian and Non-Bayesian Inference for Unit-Exponentiated Half-Logistic Distribution with Data Analysis

open access: yesApplied Sciences, 2022
Unit distributions are typically used in probability theory and statistics to illustrate useful quantities with values between zero and one. In this paper, we investigated an appropriate transformation to propose the unit-exponentiated half-logistic ...
Amal S. Hassan   +3 more
doaj   +1 more source

Probability and Certainty in the Performance of Evolutionary and Swarm Optimization Algorithms

open access: yesMathematics, 2022
Reporting the empirical results of swarm and evolutionary computation algorithms is a challenging task with many possible difficulties. These difficulties stem from the stochastic nature of such algorithms, as well as their inability to guarantee an ...
Nikola Ivković   +2 more
doaj   +1 more source

Finite mixtures of quantile and M-quantile regression models [PDF]

open access: yesStatistics and Computing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marco Alfò   +2 more
openaire   +5 more sources

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

Investment Risk Measurement Based on Quantiles and Expectiles

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2018
In the presented research, we attempt to examine special investment risk measurement. We use quantile regression as a model by describing more general properties of the response distribution.
Grażyna Trzpiot
doaj   +1 more source

Theory and Applications of the Unit Gamma/Gompertz Distribution

open access: yesMathematics, 2021
Unit distributions are commonly used in probability and statistics to describe useful quantities with values between 0 and 1, such as proportions, probabilities, and percentages. Some unit distributions are defined in a natural analytical manner, and the
Rashad A. R. Bantan   +3 more
doaj   +1 more source

Advanced algorithms for penalized quantile and composite quantile regression [PDF]

open access: yesComputational Statistics, 2020
In this paper, we discuss a family of robust, high-dimensional regression models for quantile and composite quantile regression, both with and without an adaptive lasso penalty for variable selection. We reformulate these quantile regression problems and obtain estimators by applying the alternating direction method of multipliers (ADMM), majorize ...
Matthew Pietrosanu   +4 more
openaire   +2 more sources

Türkiye’de İçsel Büyüme Modeline Kademeli Bir Bakış: Kantil Regresyon Yaklaşımı

open access: yesEkonomi, Politika & Finans Araştırmaları Dergisi, 2021
Bu çalışmada, Türkiye ekonomisinin dinamiklerinin 1990-2020 dönemleri arasında izlenmesine olanak sağlayacak bir içsel büyüme modeli tahminlemek ve kademesel yapıyı ortaya çıkarmak amaçlanmaktadır.
Serap Dursun, Merve Altaylar
doaj   +1 more source

Bayesian quantile regression [PDF]

open access: yesSSRN Electronic Journal, 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

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