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Actuarial Science

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Rachel Louis – One of the best experts on this subject based on the ideXlab platform.

Ellen Brassil – One of the best experts on this subject based on the ideXlab platform.

Enrique Alba – One of the best experts on this subject based on the ideXlab platform.

  • Actuarial Science AT ITAM
    , 2004
    Co-Authors: Enrique Alba
    Abstract:

    The Instituto Tecnologico Autonomo de Mexico (ITAM) is a private university founded in 1946 by a group of Mexican businessmen. It is a small institution of higher education, specializing in the management and social Sciences and related disciplines. It is recognized in Mexico for its programs in Economics and Business. It was recently ranked number one among universities in Mexico City by the Newspaper “Reforma” (July 29, 2001). Our Business School has consistently been ranked among the top programs in Latin America; we were ranked number 5 for 2001. We also are one of only two business programs in Mexico that have AACSB accreditation. The Mexican magazine “EXP” ranked ITAM as number two in management and number one in finance. We are also a member of the Program in International Management (PIM) since 1997; again, we are one of only two universities in Mexico that belong to this network.

  • “Principal Applications of Bayesian Methods in Actuarial Science: A Perspective”, Udi E. Makov, October 2001
    North American Actuarial Journal, 2001
    Co-Authors: Enrique Alba
    Abstract:

    (2001). “Principal Applications of Bayesian Methods in Actuarial Science: A Perspective”, Udi E. Makov, October 2001. North American Actuarial Journal: Vol. 5, No. 4, pp. 69-72.

Marian Eclevia – One of the best experts on this subject based on the ideXlab platform.

Udi E. Makov – One of the best experts on this subject based on the ideXlab platform.

  • Principal Applications of Bayesian Methods in Actuarial Science: A Perspective
    North American Actuarial Journal, 2001
    Co-Authors: Udi E. Makov
    Abstract:

    Bayesian ideas were introduced into Actuarial Science in the late 1960s in the form of empirical credibility methods for premium setting. The advance of the Bayesian methodology was slow due to its subjective nature and to the computational difficulties associated with the full Bayesian analysis. This paper offers a brief survey of Bayesian solutions to some Actuarial problems and discusses the current state of research.

  • Bayesian methods in Actuarial Science
    Journal of the Royal Statistical Society. Series D., 1996
    Co-Authors: Udi E. Makov, A. F. M. Smith, Y. H. Liu
    Abstract:

    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 provides a survey of such problems and the kinds of solutions suggested in the Actuarial literature. The second part reviews recent advances in Bayesian computational methodology and illustrates how it opens the way to a fully Bayesian treatment of a range of Actuarial problems