Results 201 to 210 of about 31,329,977 (262)
Some of the next articles are maybe not open access.

Believing the Bot - Model Risk in the Era of Deep Learning

Social Science Research Network, 2019
Deep Learning models are currently being introduced into business processes to support decision-making in insurance companies. At the same time model risk is recognized as an increasingly relevant field within the management of operational risk that ...
Ronald Richman   +2 more
semanticscholar   +1 more source

The Risk of Determining Risk with Multivariable Models

Annals of Internal Medicine, 1993
To review the principles of multivariable analysis and to examine the application of multivariable statistical methods in general medical literature.A computer-assisted search of articles in The Lancet and The New England Journal of Medicine identified 451 publications containing multivariable methods from 1985 through 1989.
J, Concato, A R, Feinstein, T R, Holford
openaire   +2 more sources

Quantification of model risk in stress testing and scenario analysis

Journal of Risk Model Validation, 2019
Understanding and quantifying the model risk inherent in loss projection models used in the macroeconomic stress testing and impairment estimation is of significant concern for both banks and regulators.
Jimmy Skoglund
semanticscholar   +1 more source

Modeling HIV Risk

Journal of Acquired Immune Deficiency Syndromes, 1999
To provide HIV risk estimates for specific local population subgroups using an HIV risk index combining HIV risk behaviors, prevalence rates, and transmission probabilities.A sample of 270 individuals was studied. Respondents described sexual and injection risk behaviors and partners in the previous 30 days.
D C, Bell, R A, Trevino
openaire   +2 more sources

On Modeling Banking Risk [PDF]

open access: possibleSSRN Electronic Journal, 2014
The paper develops new indices of financial stability based on an explicit model of expected utility maximization by financial institutions subject to the classical technology restrictions of neoclassical production theory. The model can be estimated using standard econometric techniques, like GMM for dynamic panel data and latent factor analysis for ...
openaire   +1 more source

Conceptual Model of Risk: Towards a Risk Modelling Language

2007
Nowadays organisations are subjects to frequent changes requiring continuous strategic alignment of business processes subject to increasing compliance requirements. We suggest a holistic integration of process management and risk management supporting a robust management of business processes while improving organisation's resilience.
Amadou Sienou   +3 more
openaire   +1 more source

An Economic Evaluation of the Model Risk for Risk Models

SSRN Electronic Journal, 2011
The recent experience from the global financial crisis has raised serious doubts about the accuracy of standard risk measures as a tool to quantify extreme downward risks. Standard risk measures are subject to a “model risk” due to the specification and estimation uncertainty.
Bertrand B. Maillet   +2 more
openaire   +1 more source

Modeling the Risk in Mortality Projections

Operations Research, 2022
Capturing the Uncertainty in Long-Term Mortality Forecasts The uncertainty in future longevity presents a substantial risk factor for insurance companies, pension funds, and retirement systems. In “Modeling the Risk in Mortality Projections,” Zhu and Bauer present novel stochastic models for analyzing this longevity risk that focus on the uncertainty
Nan Zhu, Daniel Bauer 0003
openaire   +2 more sources

Neonatal Risk Modeling and Prediction

2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 2023
Electronic fetal monitoring (EFM) is designed for the early detection of fetal risks and the prevention of serious neurological impairment but suffers from high false positive rates. The Fetal Reserve Index (FRI) is an expert-based system that combines EFM with maternal, obstetrical, and fetal risk factors and displays superior performance in risk ...
Abdullah Mamun   +6 more
openaire   +3 more sources

The science of risk models

European Journal of Preventive Cardiology, 2012
An individual's overall cardiovascular risk should guide appropriate therapy and patient management. Several risk assessment scores are available; however, further development of risk algorithms is necessary to account for changes in available treatments and patient lifestyles, to make use of emerging risk factors and more accurate methods for ...
David, Prieto-Merino, Stuart J, Pocock
openaire   +2 more sources

Home - About - Disclaimer - Privacy