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Recent Challenges in Actuarial Science
Annual Review of Statistics and Its Application, 2022For 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
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Bayesian Methods in Actuarial Science
The Statistician, 1996Statistical 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
Udi Makov, A. F. M. Smith, Y.-H. Liu
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The Methodology of Actuarial Science
British Actuarial Journal, 1999ABSTRACTThis paper considers actuarial science within the context of the framework provided by the formal study of scientific method. A review of key points of recent developments within the methodology (study of method) of science and the methodology of economics is presented.
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Computers and Actuarial Science
Journal of the Staple Inn Actuarial Society, 1963The purpose of this article is to explore the application of computers to actuarial science. It is frankly a propaganda attempt to counterbalance the emphasis on data-processing applications which there has been in the past.I think that this emphasis has been an unfortunate mistake.
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Predictive Modeling in Actuarial Science
2014Chapter Preview. Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting them to predict future outcomes.
Richard A. Derrig +2 more
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Insurance: Accounting, Regulation, Actuarial Science
The Geneva Papers on Risk and Insurance - Issues and Practice, 2001We 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
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Actuarial science and the theory of statistics
Journal of the Staple Inn Actuarial Society, 1952The theory of statistics, like other scientific theories, can be divided into three fairly distinct sections; they are (1) the foundations of the theory, (2) the superstructure, and (3) the principles of application. It is, of course, possible to divide the subject in different ways; for example, the word ‘methodology’ is sometimes used to cover part ...
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Skewed distributions in finance and actuarial science: a review
The European Journal of Finance, 2012That the returns on financial assets and insurance claims are not well described by the multivariate normal distribution is generally acknowledged in the literature. This paper presents a review of the use of the skew-normal distribution and its extensions in finance and actuarial science, highlighting known results as well as potential directions for ...
Adcock, Chris +2 more
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Actuarial Science-A Survey of Theoretical Development
Journal of the American Statistical Association, 1951A CTUARIAL SCIENCE, at least as the term is used in the English speaking countries, differs radically from some other sciences in that great amounts of practical material are included. For this reason, a survey of the field, such as we customarily attempt at the turn of centuries and half centuries, is most effectively made in two articles, one on ...
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Remarks on the foundations of actuarial science
Scandinavian Actuarial Journal, 1931Abstract In a paper entjtled ≫Critical Thoughts on Actuarial Science≫ read before the Swedish Actuarial Society and published in this part of the Journal K. ENGLUND has expressed some views which gave rise to objections also from my part in the verbal discussion at the meeting of the Society.
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