Results 81 to 90 of about 13,855,951 (296)

Corporate Dynamic Eco‐Innovation Capability and Carbon Emission Reduction: Evidence From African Listed Firms With the Role of Institutional Pressures

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite the global emphasis on simultaneous achievement of higher growth and lower pollution (green growth), the dynamic link between eco‐innovation and CO2 emissions remains inadequately understood globally and specifically in Africa, with a complex and diverse institutional and regulatory landscape.
Idorenyin J. Okon   +2 more
wiley   +1 more source

Investigating item complexity as a source of cross-national DIF in TIMSS math and science

open access: yesLarge-scale Assessments in Education
Background Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or ...
Qi Huang, Daniel M. Bolt, Weicong Lyu
doaj   +1 more source

A Cautionary Tale of Model Misspecification and Identifiability

open access: yesBulletin of Mathematical Biology
Mathematical models are routinely applied to interpret biological data, with common goals that include both prediction and parameter estimation. A challenge in mathematical biology, in particular, is that models are often complex and non-identifiable, while data are limited.
Alexander P. Browning   +2 more
openaire   +3 more sources

From Informality to Green Development: How the Shadow Economy Affects Green Finance, Green Innovation, and Green Trade

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Achieving green transition has become an essential policy priority for which economies need to mobilize green finance, increase green innovation, and promote trade in environmentally sustainable goods and services. However, the effectiveness of policies for enhanced green development depends not only on their design but also on their ...
Sami Ur Rahman   +3 more
wiley   +1 more source

Correcting Model Misspecification via Generative Adversarial Networks [PDF]

open access: yes, 2023
Machine learning models are often misspecified in the likelihood, which leads to a lack of robustness in the predictions. In this paper, we introduce a framework for correcting likelihood misspecifications in several paradigm agnostic noisy prior models ...
Dhavala, Soma   +5 more
core   +1 more source

The Exploration of Effect of Model Misspecification and Development of an Adequacy-Test for Substitution Model in Phylogenetics

open access: yes, 2012
It is possible that the maximum likelihood method can give an inconsistent result when the DNA sequences are generated under a tree topology which is in the Felsentein Zone and analyzed with a misspeci ed model.
Chen, Wei Jr
core  

Does the CEO's Attention Affect How Well the Firm Performs Environmentally?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study explores whether CEOs' environmental attention (CEA) enhances firms' environmental performance. Drawing on attention‐based and upper echelons theories, which emphasize that executives' cognitive focus shapes organizational outcomes, we argue that CEOs who devote greater attention to environmental issues are more likely to integrate ...
Salah Aldain Abdullah Alshorman   +2 more
wiley   +1 more source

A partially heterogeneous weighted fusion learning method for potential heterogeneous treatment effect in multi-site survival study

open access: yesBMC Medical Research Methodology
Background In multi-site studies in clinical practice, the treatment effects may exhibit potential heterogeneity across different sites. Additionally, propensity score methods used to adjust for confounding may suffer from model misspecification, which ...
Chen Huang   +3 more
doaj   +1 more source

Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference

open access: yesRisks
This study addresses the crucial but under-explored topic of ambiguity aversion, i.e., model misspecification, in the area of environmental, social, and corporate governance (ESG) within portfolio decisions.
Marcos Escobar-Anel, Yiyao Jiao
doaj   +1 more source

Bayesian Inference Under Model Misspecification

open access: yes
The likelihood input to a Bayesian analysis almost never exactly represents how the data were generated, calling into question the validity of posterior inferences.
Jack Jewson
core   +1 more source

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