Results 141 to 150 of about 27,041,647 (297)
Detailed information on actuarial studies (actuarial science) as well as information specifically regarding actuarial studies at the University of Texas at ...
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Fairness‐aware insurance pricing: A multi‐objective optimization approach
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley +1 more source
How can actuarial science contribute to the field of health technology assessment? An interdisciplinary perspective. [PDF]
Espinosa O +4 more
europepmc +1 more source
Evolutions of Actuarial Systems in the Insurance Industry and Challenges in the Existing System
The field of actuarial science and the fresh issues it encounters today are greatly affected by numerous technological advancements, the increasing importance of data science, rules and legislation, changes in the climate, global issues like COVID-19 ...
Pelusi, Danilo, Panwar, Manawati
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Sparse Causal Dynamic Linear Regression
ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley +1 more source
Detecting Multiple Change Points in Linear Models With Heteroscedasticity
ABSTRACT The problem of detecting change points in the parameters of a linear regression model with errors and covariates exhibiting heteroscedasticity is considered. Asymptotic results for weighted functionals of the cumulative sum (CUSUM) processes of model residuals are established when the model errors are weakly dependent and non‐stationary ...
Lajos Horváth +2 more
wiley +1 more source
The ALA Guide to Information Sources in Insurance, Risk Management, and Actuarial Science [PDF]
europepmc +1 more source
A simple proof that comonotonic risks have the convex-largest sum. [PDF]
In the recent actuarial literature, several proofs have been given for the fact that if a random vector X(1), X(2), …, X(n) with given marginals has a comonotonic joint distribution, the sum X(1) + X(2) + … + X(n) is the largest possible in convex order.
Denuit, M +4 more
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Abstract Purpose Using neural network analysis, we examined how specific dispositional and situational factors influence pathways for the commission of sexual offending against children. Use of non‐linear multifactorial models is still developing in psychological and criminological research, making this a unique contribution to these fields.
Kelly Jackson +5 more
wiley +1 more source

