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Big Data and Actuarial Science [PDF]
Big Data and Cognitive Computing, 2020 This article investigates the impact of big data on the actuarial sector. The growing fields of applications of data analytics and data mining raise the ability for insurance companies to conduct more accurate policy pricing by incorporating a broader ...
Hossein Hassani +2 more
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Extensions of Morse-Smale Regression with Application to Actuarial Science [PDF]
arXiv, 2017 The problem of subgroups is ubiquitous in scientific research (ex. disease heterogeneity, spatial distributions in ecology...), and piecewise regression is one way to deal with this phenomenon. Morse-Smale regression offers a way to partition the regression function based on level sets of a defined function and that function's basins of attraction ...
Colleen Farrelly
arxiv +3 more sources
Quantum Computational Insurance and Actuarial Science [PDF]
arXivIn recent years, quantum computation has been rapidly advancing, driving a technological revolution with significant potential across various sectors, particularly in finance. Despite this, the insurance industry, an essential tool for mitigating unforeseen risks and losses, has received limited attention.
Huanyu Liu +7 more
arxiv +3 more sources
The concept of comonotonicity in actuarial science and finance: applications [PDF]
Insurance: Mathematics and Economics, 2002 In an insurance context, one is often interested in the distribution function of a sum of random variables (rv’s). Such a sum appears when considering the aggregate claims of an insurance portfolio over a certain reference period. It also appears when considering discounted payments related to a single policy or a portfolio, at different future points ...
Jan Dhaene +4 more
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actuar: An R Package for Actuarial Science
Journal of Statistical Software, 2008 actuar is a package providing additional Actuarial Science functionality to the R statistical system. The project was launched in 2005 and the package is available on the Comprehensive R Archive Network since February 2006.
Christophe Dutang +2 more
doaj +1 more source
Mixed Models for Predictive Modelling in Actuarial Science [PDF]
SSRN Electronic Journal, 2012 We start with a general discussion of mixed (also called multilevel) models and continue with illustrating specific (actuarial) applications of this type of models. Technical details on (linear, generalized, non-linear) mixed models follow: model assumptions, specifications, estimation techniques and methods of inference.
Katrien Antonio, Yanwei Zhang
openalex +5 more sources
On Teaching Actuarial Science [PDF]
British Actuarial Journal, 2003 Hans Bühlmann
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actuar: AnRPackage for Actuarial Science [PDF]
Journal of Statistical Software, 2008 actuar is a package providing additional Actuarial Science functionality to the R statistical system. The project was launched in 2005 and the package is available on the Comprehensive R Archive Network since February 2006. The current version of the package contains functions for use in the fields of loss distributions modeling, risk theory (including
Vincent Goulet +2 more
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Actuarial Science in the Middle Ages [PDF]
Journal of the Staple Inn Actuarial Society, 1951 R. D. Clarke, Geoffrey J. Knapman
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On Writing Actuarial Science [PDF]
Annals of Actuarial Science, 2010 RJ Thomson
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