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Correction: A new asymmetric extended family: Properties and estimation methods with actuarial applications. [PDF]

open access: yesPLoS One
Aljohani HM   +5 more
europepmc   +1 more source

Genetic Modulation of Lifespan: Dynamic Effects, Sex Differences, and Body Weight Trade-offs

open access: yes
Arends D   +23 more
europepmc   +1 more source
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Recent Challenges in Actuarial Science

Annual Review of Statistics and Its Application, 2022
For centuries, mathematicians and, later, statisticians, have found natural research and employment opportunities in the realm of insurance. By definition, insurance offers financial cover against unforeseen events that involve an important component of randomness, and consequently, probability theory and mathematical statistics enter insurance ...
Paul Embrechts, Mario V. Wüthrich
openaire   +3 more sources

Actuarial Data Science

2021
Insurance companies have always been dependent on reliable projections and hence on data-driven decisions. As digitalization is progressing in almost every industry, insurance companies may benefit in particular, because they already possess valuable historical data.
Martin Seehafer   +6 more
openaire   +2 more sources

Insurance: Accounting, Regulation, Actuarial Science

The Geneva Papers on Risk and Insurance - Issues and Practice, 2001
We shall be examining the following topics: (i) basic frameworks for accounting and for statutory insurance rules; and (ii) actuarial principles of insurance; for both life and nonlife (i.e. casualty and property) insurance.
Alain Tosetti   +3 more
openaire   +2 more sources

AI in Actuarial Science

SSRN Electronic Journal, 2018
Rapid advances in Artificial Intelligence and Machine Learning are creating products and services with the potential not only to change the environment in which actuaries operate, but also to provide new opportunities within actuarial science. These advances are based on a modern approach to designing, fitting and applying neural networks, generally ...
openaire   +1 more source

Bayesian Methods in Actuarial Science

The Statistician, 1996
Statistical methods with a Bayesian flavour, in particular credibility theory, have long been used in the insurance industry as part of the process of estimating risks and setting premiums. Typically, however, fully Bayesian analysis has proved computationally infeasible and various approximate solutions have been proposed. The first part of this paper
U. E. Makov, A. F. M. Smith, Y.-H. Liu
openaire   +1 more source

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