Results 101 to 110 of about 6,156 (248)
Multivariate Uncertainty Quantification with Tomographic Quantile Forests
Mathematical and Computational ApplicationsQuantifying predictive uncertainty is essential for safe and trustworthy real-world AI deployment. However, the fully nonparametric estimation of conditional distributions remains challenging for multivariate targets.
Takuya Kanazawa
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Sustainable Development, EarlyView.ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali +2 more
wiley +1 more source
IEEE AccessThis paper firstly puts forward to explore the multi-scale, nonlinear quantile interactions between investor attention and the carbon market from January 2009 to December 2022.
Yaqi Wu +4 more
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Sustainable Development, EarlyView.ABSTRACT Technological innovation and digitalization are widely viewed as key drivers of sustainable development, yet their effectiveness in reducing carbon emissions remains uncertain. This study examines how technological innovation, digitalization, energy structure, and economic activity shape both CO2 emissions and total factor productivity in 22 ...
Muhammad Waqas Khalid +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Energy dependence poses significant risks for economic development, particularly in regions that rely heavily on imported fossil fuels. This paper examines how energy dependence and energy import diversification influence economic development across 27 European Union countries between 2000 and 2022. Using IV‐GMM and panel quantile regressions,
Mehmet Pinar
wiley +1 more source
Nonparametric expectile shortfall regression for functional data
Demonstratio MathematicaThis work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management.
Almanjahie Ibrahim M. +4 more
doaj +1 more source
Thunderbird International Business Review, EarlyView.ABSTRACT This study investigates the factors influencing renewable energy consumption and renewable electricity in Sub‐Sahara Africa (SSA) using the Lewbel 2SLS approach, panel quantile regression and Driscoll and Kraay estimator. It focuses on a panel dataset covering 41 countries from 1998 to 2020.
Emmanuel K. Manu, Simplice A. Asongu
wiley +1 more source
Innovation and Green DevelopmentAs environmental threats intensify, policies that reduce carbon (CO2) emissions become essential for attaining a sustainable environment. This study examines the asymmetric effect of household and commercial energy efficiency on energy-related carbon ...
Ojonugwa Usman +3 more
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Bootstrap Enhanced Penalized Regression for Variable Selection with Neuroimaging Data
Frontiers in Neuroscience, 2016 Recent advances in fMRI research highlight the use of multivariate methods for examining whole-brain connectivity. Complementary data-driven methods are needed for determining the subset of predictors related to individual differences.
Samantha Valerie Abram +5 more
doaj +1 more source
Testing Equality of Nonparametric Quantile Regression Functions
International Journal of Statistics and Probability, 2014 This article proposes a new approach for testing the equality of nonparametric quantile regression functions based on marked empirical processes. We develop test statistics that posses better Type I and power properties in comparison to all available procedures in the literature. Simulation results also indicate that our tests have superior local power
Chinthaka Kuruwita +2 more
openaire +2 more sources