Results 91 to 100 of about 2,008 (180)

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Federated generalized additive models for location, scale and shape. [PDF]

BMC Med Res Methodol
Swenne A, Intemann T, Moreno LA, Pigeot I.   +3 more
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Effective Core Potentials for Calculations of Continuum Spectra of Molecules Using the Molecular R-Matrix Method. [PDF]

J Chem Theory Comput
Mašín Z, Benda J, Crhán M, Armstrong GSJ, Nelson A, Mohr S, Tennyson J.   +6 more
europepmc   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

When CSR Gaps Become Competitive Signals: How CEO Motivation Shapes Competitive Dissimilarity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Prior research has primarily examined corporate social responsibility (CSR) directed toward stakeholders such as investors, consumers, and regulators, signaling trustworthiness and positive moral character. However, nonmarket strategies such as CSR may also be interpreted by firms in relation to competitors, suggesting that CSR may influence ...
Sascha P. Klein
wiley   +1 more source

Mapping Corporate Environment, Social, and Governance Discourses: Analysis of Korean Companies' Sustainability Reports (2014–2024)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee, Sinjae Kang, Dian Wahyu Utami, Bohae Na   +3 more
wiley   +1 more source

CEO Age and Corporate Environmental Performance: Evidence From French Listed Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates the impact of CEO age on corporate environmental performance in the case of France, a country characterized by a strong commitment to sustainable development, emphasis on gender diversity, and elitism in the selection of corporate leaders. Using a sample of French firms listed on Euronext Paris between 2006 and 2024, we
Mehwish Yousaf, Pascal Nguyen
wiley   +1 more source

Edge Fluid Turbulence Simulations of Stellarators With GRILLIX

Contributions to Plasma Physics, EarlyView.
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir, Christoph Pitzal, Barnabas Csillag, Miguel Madeira, Marion Finkbeiner   +4 more
wiley   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

Deep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang, Guoyao Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao   +6 more
wiley   +1 more source