Results 301 to 310 of about 3,807,500 (349)

AI in actuarial science – a review of recent advances – part 1

Annals of Actuarial Science, 2020
Rapid advances in artificial intelligence (AI) 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.
Ronald Richman
semanticscholar   +1 more source

AI in actuarial science – a review of recent advances – part 2

Annals of Actuarial Science, 2020
Rapid advances in artificial intelligence (AI) 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
Ronald Richman
semanticscholar   +1 more source

Computational Actuarial Science with R

International Statistical Review, 2015
F. Durante
semanticscholar   +3 more sources

On the Poisson-transmuted exponential distribution and its application to frequency of claim in actuarial science

Statistics in Transition New Series
This study proposes a new discrete distribution in the mixed Poisson paradigm to obtain a distribution that provides a better fit to skewed and dispersed count observation with excess zero.
Shamsul Rijal Muhammad Sabri, A. Adetunji   +1 more
semanticscholar   +1 more source

Skewed distributions in finance and actuarial science: a review

The European Journal of Finance, 2015
That 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 ...
C. Adcock, M. Eling, N. Loperfido
semanticscholar   +5 more sources

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
Udi Makov, A. F. M. Smith, Y.-H. Liu
openaire   +2 more sources

Actuarial science advisory boards: A survey of current and best practices

Journal of Education for Business, 2018
This research uses a survey mechanism to query actuarial science programs as to the usage of industry advisory boards at such programs in the U.S. The study’s methodology employs a questionnaire to examine the formation, governance, and utilization of ...
J. Tim Query
semanticscholar   +1 more source

The Methodology of Actuarial Science

British Actuarial Journal, 1999
ABSTRACTThis 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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Remarks on the foundations of actuarial science

Scandinavian Actuarial Journal, 1931
Abstract 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.
openaire   +3 more sources

Computers and Actuarial Science

Journal of the Staple Inn Actuarial Society, 1963
The 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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