Results 131 to 140 of about 13,855,951 (296)
Generalization Analysis for Bayesian Optimal Experiment Design under Model Misspecification [PDF]
In many settings in science and industry, such as drug discovery and clinical trials, a central challenge is designing experiments under time and budget constraints.
Tang, Roubing +2 more
core +1 more source
ABSTRACT This research examines the synergistic influence of corporate social responsibility (CSR) and environmental, social, and governance (ESG) disclosure on green innovation (GI) within Romanian small and medium‐sized industrial enterprises. In light of growing regulatory requirements and the transformation toward a sustainable economy, the study ...
Melinda Timea Fülöp +1 more
wiley +1 more source
Model misspecification in stepped wedge trials: Random effects for time or treatment. [PDF]
Voldal EC +4 more
europepmc +1 more source
Responsible Banking Under Twin Transition: FinTech M&As, ESG Strategy, and Bank Performance
ABSTRACT This paper investigates how banking innovation strategies, namely FinTech M&As and ESG practices, affect bank performance under rising competitive pressures and regulatory complexity. Using a unique dataset of 543 listed banks across 49 countries from 2000 to 2023, we analyse whether these strategic investments enhance banks' profitability ...
G. B. Ferilli, Y. Altunbas, E. Palmieri
wiley +1 more source
Using Simulated Annealing to Investigate Sensitivity of SEM to External Model Misspecification. [PDF]
Fisk CL +5 more
europepmc +1 more source
Inclusive Leadership and CEO Gender: The Role of Tenure and Education in an Emerging Economy
ABSTRACT Gender inequality in corporate leadership remains a critical challenge, particularly in emerging economies where institutional constraints shape access to top executive positions. This study examines firm performance differences between women and men CEOs in Ecuador, focusing on the moderating roles of tenure and formal education.
K. N. González‐Soto +2 more
wiley +1 more source
Simulation-based inference (SBI) offers a principled and flexible framework for conducting Bayesian inference in any situation where forward simulations are feasible.
James Alvey +2 more
doaj +1 more source
Using recurrent neural network to estimate irreducible stochasticity in human choice behavior
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others.
Yoav Ger, Moni Shahar, Nitzan Shahar
doaj +1 more source
Robustness of Phylogenetic Inference to Model Misspecification Caused by Pairwise Epistasis. [PDF]
Magee AF, Hilton SK, DeWitt WS.
europepmc +1 more source

