On the Classical Shadow Nonparametric Bootstrap
Classical shadows are an efficient method for constructing an approximate classical description of a quantum state using very few measurements. In the paper we propose to enhance classical shadow methods using bootstrap resampling methods. We apply nonparametric bootstrapping to assess the variability and accuracy of estimators by repeatedly sampling ...
Ghysels, Eric, Morgan, Jack
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Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the impact of digital finance and financial inclusion on carbon emissions within a multi‐country panel framework, contributing to the emerging Finance 5.0 literature that links digital transformation with environmental sustainability.
Utku Altunöz
wiley +1 more source
Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine. [PDF]
Front Vet Sci, 2023 Pang J +6 more
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Parametric and nonparametric bootstrap: an analysis of indoor air data from Kuwait
Kuwait Journal of Science, 2018 This paper discusses the performance of parametric and nonparametric bootstrap for confidence interval (CI) estimation applied to fine particulate matter (PM2.5) data.
Sana BuHamra +2 more
doaj
Entropy, 2017 The information-theoretical concept transfer entropy is an ideal measure for detecting conditional independence, or Granger causality in a time series setting.
Cees Diks, Hao Fang
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Business Strategy and the Environment, EarlyView.ABSTRACT Improving energy efficiency is a central pillar of climate mitigation strategies, energy security, and sustainable economic growth, particularly in energy‐intensive economies such as the United States. This study investigates the nonlinear and distribution‐dependent effects of energy prices, financial conditions, economic policy uncertainty ...
Busra Agan Celik
wiley +1 more source
Econometric Issues in Prospective Economic Evaluations Alongside Clinical Trials: Combining the Nonparametric Bootstrap With Methods That Address Missing Data. [PDF]
Epidemiol Rev, 2022 Jalali A +3 more
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Rate of Convergence for the Wild Bootstrap in Nonparametric Regression
The Annals of Statistics, 1991 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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When Does SDG Adoption Increase ESG Risk? The Mediating Role of Risk Management
Business Strategy and the Environment, EarlyView.ABSTRACT Corporate engagement with the United Nations' Sustainable Development Goals (SDGs) has expanded rapidly, yet its implications for firms' environmental, social and governance (ESG) risk remain insufficiently understood. Prior research has focused on the performance outcomes of SDG adoption while largely overlooking its potential to generate ESG
Francisco J. López‐Arceiz +1 more
wiley +1 more source
Improving Phylogenies Based on Average Nucleotide Identity, Incorporating Saturation Correction and Nonparametric Bootstrap Support. [PDF]
Syst Biol, 2022 Gosselin S +3 more
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