Results 31 to 40 of about 363,287 (369)
Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model [PDF]
This paper proposes computationally tractable methods for selecting the appropriate spatial weighting matrix in the context of a spatial quantile regression model.
Kostov, Phillip
core +2 more sources
The development of economies and energy usage can significantly impact the carbon dioxide (CO2) emissions in the Middle East and North Africa (MENA) countries.
Majed Alharthi +2 more
semanticscholar +1 more source
A New Family of Expectiles and its Properties
Introduction. This paper considers a risk measure called expectile. Expectile is a characteristic of a random variable calculated using the asymmetric least square method. The level of asymmetry is defined by a parameter in the interval (0, 1). Expectile
Viktor Kuzmenko
doaj +1 more source
Ordered quantile normalization: a semiparametric transformation built for the cross-validation era
Normalization transformations have recently experienced a resurgence in popularity in the era of machine learning, particularly in data preprocessing. However, the classical methods that can be adapted to cross-validation are not always effective.
Ryan A. Peterson, J. Cavanaugh
semanticscholar +1 more source
Investment Risk Measurement Based on Quantiles and Expectiles
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
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This work is about analyzing surface mounted permanent magnet machines regarding their sensitiveness related to erroneous magnet positioning. A finite element analysis based approach is presented and different topologies in terms of slot and pole count ...
Gerd Bramerdorfer +2 more
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Graphical Abstract Over the last few years, the rapid growth of information and communication technologies (ICT) has contributed to every sector of the economy; however, the environmental consequences of ICT should not be overlooked.
Yuzhao Wen +6 more
semanticscholar +1 more source
Assessing Quantile Prediction with Censored Quantile Regression Models [PDF]
Summary An important goal of censored quantile regression is to provide reliable predictions of survival quantiles, which are often reported in practice to offer robust and comprehensive biomedical summaries. However, formal methods for evaluating and comparing working quantile regression models in terms of their performance in ...
Li, Ruosha, Peng, Limin
openaire +3 more sources
Unveiling the Dynamics of Financial Institutions and Markets in Shaping Economic Prosperity in MENA
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
Asymptotics for penalized spline estimators in quantile regression [PDF]
Quantile regression predicts the $\tau$-quantile of the conditional distribution of a response variable given the explanatory variable for $\tau\in(0,1)$.
Yoshida, Takuma
core +1 more source

