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Higher Learning: An Introduction to Hierarchical Linear Models

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Description

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR.
DUE TO HIGH VOLUME OF DEMAND, WE ARE ONLY ABLE TO GUARANTEE A SEAT TO THOSE WHO REGISTER 48 HOURS AHEAD OF THE WEBINAR TIME.


Generalized linear models have been mainstream for quite a few years. However, the reflection of credibility in such models is not necessarily a settled issue. Hierarchical models (also known as fixed and random effects models, or linear mixed models) are an established technique to address this. Under certain conditions, they will generate parameter estimates that are identical to the Bühlmann-Straub credibility estimates that have been part of actuarial practice for decades.

Attendees should be familiar with scripting languages like R, Python, Julia or similar.

Learning Objectives:

  1. What is a hierarchical model and how does it differ from a standard GLM?
  2. What assumptions are relevant for hierarchical models and how does one test them?
  3. How can a hierarchical model be implemented in a traditional actuarial estimation context?
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Registration Information and Fees

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR

Registration Fees (in U.S. Dollars) Received on/by
Feb 10, 2022
Received after
Feb 10, 2022
Individual $50 $75
Group*
(more than one person using the same internet connection)
PLEASE NOTE: We will be eliminating the Group Registration rate starting in June 2022.
$300 $350
Multiple Connections**
(Unlimited internet connections for individuals working for the same company. Please note that audio for this presentation will be streamed via the web)
$600 $650

*Group Registrations will receive a code during the webinar with which they can use to count their attendance. PLEASE NOTE: We will be eliminating the Group Registration rate for webinars starting June 1, 2022 due to decreased demand as fewer organizations hold webinars in common meeting areas at their Headquarters.

**Multiple Connection Registrations should contact Ami Ruffin directly at aruffin@casact.org The registering party for the Multiple Connection Registration will be responsible for distributing all event details to attending individuals within their company.


Cancellations/Refunds
Registrations fees will be refunded for cancellations received in writing at the CAS Office via fax, 703-276-3108, or email, refund@casact.org , by February 17, 2022 less a $25 processing fee.

CAS Continuing Education Policy
The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide Actuarial Services. Actuarial Services are defined in the CAS Code of Professional Conduct as “professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations.” Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy. For further information regarding the CAS Continuing Education Policy please visit the CAS web site.

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Contributors

  • Brian Fannin

    Brian Fannin has been an actuary for over 20 years, having become an Associate of the CAS in 2002 and a Certified Specialist in Predictive Analytics (CSPA) in 2017. He has worked in a variety of roles in commercial insurance, both primary and excess, here in the US as well as Europe, London and Asia. An early proponent of R, he has taught various workshops and seminars for the CAS, Actex and insurance clients. He is the author of the book “R for Actuaries and Data Scientists with Applications to Insurance”, published by Actex. He joined the staff of the CAS in March of 2018 as a Research Actuary. His focus is to enable CAS committees and research partners to work efficiently in developing relevant, practical content.

February 24, 2022
Thu 12:00 PM EST

Duration 1H 30M

This live web event has ended.

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