Results 81 to 90 of about 16,358 (263)

Climate Adequacy and Market Risk: Are They Related? Empirical Evidence From the European Equity Market Before and After the Adoption of the Paris Agreement

Business Strategy and the Environment, EarlyView.
ABSTRACT ESG ratings, and in particular environmental scores (E‐scores), are becoming increasingly relevant for financial stability and capital allocation decisions. This paper investigates the relationship between corporate environmental performance and market risk, as measured through value at risk (VaR) and expected shortfall (ES), the key metrics ...
Matilda Shini, Igor Gianfrancesco, Antonia Patrizia Iannuzzi, Vittorio Dell'Atti   +3 more
wiley   +1 more source

Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC

Frontiers in Ecology and Evolution, 2019
The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive.
Brian Dennis, José Miguel Ponciano, Mark L. Taper, Mark L. Taper, Subhash R. Lele   +4 more
doaj   +1 more source

Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impair decision‐making, and generate negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley   +1 more source

Applying the M2 Statistic to Evaluate the Fit of Diagnostic Classification Models in the Presence of Attribute Hierarchies

Frontiers in Psychology, 2018
The performance of the limited-information statistic M2 for diagnostic classification models (DCMs) is under-investigated in the current literature. Specifically, the investigations of M2 for specific DCMs rather than general modeling frameworks are ...
Fu Chen, Yanlou Liu, Tao Xin, Ying Cui
doaj   +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

Simulating realistic patient profiles from pharmacokinetic models by a machine learning postprocessing correction of residual variability

CPT: Pharmacometrics & Systems Pharmacology
We address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical purpose
Christos Kaikousidis, Robert R. Bies, Aristides Dokoumetzidis   +2 more
doaj   +1 more source

Newsvendor under Ambiguity and Misspecification

Manufacturing & Service Operations Management
We consider a newsvendor problem with unknown demand distribution, where we distinguish ambiguity under which the newsvendor does not differentiate demand distributions of common characteristics (e.g., mean and variance) and misspecification under which such characteristics might be misspecified (due to, e.g., estimation error and/or distribution shift)
Feng Liu, Zhi Chen, Ruodu Wang, Shuming Wang   +3 more
openaire   +2 more sources

Model‐Based Analysis with Mechanistic Insights to CAR‐T‐Cell Therapy Kinetics: Case Study with Axicabtagene Ciloleucel and Brexucabtagene Autoleucel

Clinical Pharmacology &Therapeutics, EarlyView.
Model‐informed drug development is increasingly used to support chimeric antigen receptor (CAR)‐T‐cell therapy programs. However, most population pharmacokinetic (PK) CAR‐T‐cell models available in literature are variations of an empirical piecewise‐linear model, which accurately describes the observed data but lacks a mechanistic foundation.
Anna M. Mc Laughlin, Martin Bergstrand, Ana Ruiz‐Garcia, Simone Filosto, Rhine Shen   +4 more
wiley   +1 more source

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

Risks
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

Minimum Penalized ϕ-Divergence Estimation under Model Misspecification

Entropy, 2018
This paper focuses on the consequences of assuming a wrong model for multinomial data when using minimum penalized ϕ -divergence, also known as minimum penalized disparity estimators, to estimate the model parameters.
M. Virtudes Alba-Fernández, M. Dolores Jiménez-Gamero, F. Javier Ariza-López   +2 more
doaj   +1 more source