Results 141 to 150 of about 182,632 (325)
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
Breadth at the Helm: Generalist CEOs and Corporate ESG Performance‐Evidence From China
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Drawing on the Upper Echelons Theory and the Imprinting Theory, this study conjectures that generalist CEOs may have a stronger tendency to pursue environmental, social and governance (ESG) goals. We perform multiple regression analyses with observations of Shanghai and Shenzhen A‐share listed companies from 2010 to 2023 in order to explore ...
Shanmei Luo +4 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel +2 more
wiley +1 more source
Contributions to Plasma Physics, EarlyView.ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
wiley +1 more source
Advanced Modeling and Simulation in Engineering SciencesThis paper offers an approach to deal with parametrized nonlinear strongly coupled thermo-poroelasticity problems. The approach uses the LATIN-PGD method and extends previous work in multiphysics problems.
Élise Foulatier +3 more
doaj +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A bilayer protection approach is proposed for slowing down the surface potential decay of thin films of spontaneously‐polarized electret materials. The electret and the protective films are characterized, and the protection effectiveness is investigated under the effects of light illumination, water contact and mechanical impact.
Seyedali Sabzpoushan +2 more
wiley +1 more source
Data Augmentation for Regression Machine Learning Problems in High Dimensions
ComputationMachine learning approaches are currently used to understand or model complex physical systems. In general, a substantial number of samples must be collected to create a model with reliable results.
Clara Guilhaumon +4 more
doaj +1 more source