Results 131 to 140 of about 23,103 (324)
Contemporary challenges in model misspecification [PDF]
2024In contemporary practical applications, the significance of model misspecification has grown notably in many fields. When statistical inferences are based on likelihoods, model misspecification can give rise to inaccurate uncertainty quantification ...
Li, Jiawei
core
CEO Overconfidence, Industry Competition, and ESG Performance
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley +1 more source
Variational Bayes under Model Misspecification
CoRR, 2019 Variational Bayes (VB) is a scalable alternative to Markov chain Monte Carlo (MCMC) for Bayesian posterior inference. Though popular, VB comes with few theoretical guarantees, most of which focus on well-specified models. However, models are rarely well-specified in practice. In this work, we study VB under model misspecification.
Yixin Wang 0002, David M. Blei
openaire +3 more sources
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source
Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna +2 more
wiley +1 more source
Modified interactive Q-learning for attenuating the impact of model misspecification with treatment effect heterogeneity. [PDF]
Stat Methods Med Res, 2023 Zhang Y, Vock DM, Patrick ME, Murray TA.
europepmc +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective This study aimed to assess the structural validity and readability of a brief 7‐item version of the Eating Disorder Examination Questionnaire (the EDE‐Q7) among adolescents. Method Latent variable analysis was used in a sample of 263 adolescents (age range = 13–17.99y) diagnosed with an eating disorder and recruited from treatment ...
Paul E. Jenkins +7 more
wiley +1 more source
Exploration of model misspecification in latent class methods for longitudinal data: Correlation structure matters. [PDF]
Stat Med, 2023 Neely ML +4 more
europepmc +1 more source
Parameter misspecification and robust monetary policy rules [PDF]
In this paper, I evaluate the performance deterioration that occurs when the central bank employs an optimal targeting rule that is based on incorrect parameter values.
Walsh, Carl E.
core
The Structure of Informal Learning in the Workplace—An Experience Sampling Approach
Human Resource Development Quarterly, EarlyView.ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley +1 more source