Results 141 to 150 of about 13,855,951 (296)

Winning Consumer Trust Through Supply Chain Responsibility Communication: How Certification, Disclosure, and Beneficiary Framing Shape Credibility

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As stakeholders increasingly demand supply chain transparency, companies face a legitimacy paradox: disclosing supply chain responsibility (SR) information is necessary to meet stakeholder expectations, yet disclosure can invite scrutiny rather than build credibility.
Julia Hartmann
wiley   +1 more source

Undersmoothing Causal Estimators With Generative Trees

IEEE Access
Average causal effects are averages of (heterogeneous) individual treatment effects (ITEs) taken over the entire target population. The estimation of average causal effects has been studied in depth, but averages are insufficient for more individualised ...
Damian Machlanski, Spyridon Samothrakis, Paul Clarke   +2 more
doaj   +1 more source

Minimizing Sensitivity to Model Misspecification

We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by the sample size. We construct estimators whose mean squared error is minimax
Stéphane Bonhomme, Martin Weidner
core  

Structural Validity of a Short Form of the Eating Disorder Examination Questionnaire in Adolescents Diagnosed With an Eating Disorder

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, Sasha Gorrell, Erin C. Accurso, Sarah Eckhardt, Elizabeth K. Hughes, Daniel Le Grange, Susan M. Sawyer, Renee D. Rienecke   +7 more
wiley   +1 more source

How Robust is Robust Control in the Time Domain? [PDF]

By applying robust control the decision maker wants to make good decisions when his model is only a good approximation of the true one. Such decisions are said to be robust to model misspecification.
Marco P. Tucci
core  

Striving for Significance: Development and Validation of the Desire for Significance Scale

European Journal of Social Psychology, EarlyView.
ABSTRACT The need for personal significance (i.e., the desire for mattering, meriting respect and ‘being someone’) is a psychogenic need that guides a variety of human behaviours studied across multiple domains of social psychology. Despite its relevance, a validated measure of stable individual differences in the motivation to satisfy the need for ...
Erica Molinario, Andrey Elster, Iwona Dudek, Katarzyna Jasko, David Webber, Ewa Szumowska, N. Pontus Leander, Maximilian Agostini, Jannis Kreienkamp, Gilda Sensales, Gabriele Di Cicco, Luis C. Jaume, Molly Ellenberg, Dylan Wollschalger, Arie W. Kruglanski   +14 more
wiley   +1 more source

On testing for homogeneity with zero-inflated models through the lens of model misspecification. [PDF]

Int Stat Rev, 2022
Hsu WW, Mawella NR, Todem D.
europepmc   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data

Methods in Ecology and Evolution
Species distribution models (SDMs) have been widely used in ecology to understand how species relate to environmental variation. Most SDMs are correlative, and they lack explicit reference to the underlying processes, and therefore, the reliability of ...
Jukka Sirén, Panu Somervuo, Otso Ovaskainen   +2 more
doaj   +1 more source

The Learning Rate Is Not a Constant: Sandwich-Adjusted Markov Chain Monte Carlo Simulation

Entropy
A fundamental limitation of maximum likelihood and Bayesian methods under model misspecification is that the asymptotic covariance matrix of the pseudo-true parameter vector θ* is not the inverse of the Fisher information, but rather the sandwich ...
Jasper A. Vrugt, Cees G. H. Diks
doaj   +1 more source