Join us in our upcoming webinar on
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May 3, 2022 / 5:00 AM (EDT) / 11:00 AM (CEST)/ 6:00 PM
(JST)
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The 2021 Hachemeister Prize was awarded to a paper introducing
the AGLM method. As the Award's description says, the approach
addresses a real need to balance the accuracy of data science
techniques with the strong explanatory power of GLMs and the
accompanying R package allows practicing actuaries to use the
method easily. Practitioners, then, can reasonably feel free to use
it even without comparing with other methods with potentially
similar predictive powers.
In this presentation, however, the distinction between AGLM and
other methods will be elaborated from a more technical viewpoint so
that it will be made clearer where its strength comes from and what
should be noted when using it. This talk is not a full-fledged
presentation of scientific research nor a technical guide for
practitioners but, rather, a delivery of concepts which hopefully
helps grasp the essence of the prize-winning method.
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Hirokazu Iwasawa
Guest Professor Waseda University
Hirokazu Iwasawa (aka Iwahiro) is a central figure of education,
dissemination and research of data science in the actuarial field
in Japan. He has been acting as a mentor of many data science
related projects in IAJ's Data Science Related Basic Research
Working Group and ASTIN Related Study Group. As an eminent
educator, he gives regular lectures at IAJ as well as at several
universities including Waseda University as a Guest
Professor.
He has published 20+ books among which eight books are single
authored. They are on probability, statistics, math puzzles,
non-life insurance math, predictive modeling, etc. He is the
originator of the AGLM technique, a co-authored paper on which
received the 2021 Hachemeister Prize.
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