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  • Pictures of Super Models
    Pictures of Super Models What is a "super" model? How do we develop, maintain, and visualize them? What is the difference between models and assumptions? Most importantly, how can we use ...

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    • Authors: Timothy S Paris
    • Date: Apr 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: The Modeling Platform
    • Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Modeling & Statistical Methods
  • 2009-13 U.S. Individual Life Persistency Report
    2009-13 U.S. Individual Life Persistency Report This report presents the results of individual life insurance lapse experience in the United States between observation years 2009 and 2013. Lapse ...

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    • Authors: Society of Actuaries
    • Date: Jun 2019
    • Competency: External Forces & Industry Knowledge
    • Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance>Policyholder behavior - Life Insurance
  • Pricing for Sparse Data
    Pricing for Sparse Data While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep ...

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    • Authors: Timothy S Paris, Andy Samuel King
    • Date: May 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Annuities; Annuities>Variable annuities; Experience Studies & Data; Experience Studies & Data>Policyholder or participant behavior - Experience
  • Session 08: Policyholder Behavior Modeling and the Risks of Over-fitting Data
    Session 08: Policyholder Behavior Modeling and the Risks of Over-fitting Data The presenters will explore policyholder experience data for long-term products, risks of over-fitting data in ...

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    • Authors: Chanseo Lee, Timothy S Paris
    • Date: May 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics
  • Session 025: Post Level Term: Lapse and Mortality Risk Considerations
    Session 025: Post Level Term: Lapse and Mortality Risk Considerations As more term insurance policies move to the post-level period, actuaries are evaluating policyholder behavior and expected ...

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    • Authors: Patrick Davidson , Katherine McLaughlin, Laura Muse, Aisling Bradfield
    • Date: Jan 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance; Life Insurance>Term life
  • Survey results on COVID-19 effects on VA business
    Survey results on COVID-19 effects on VA business A short article looking at the results from an annual assumption survey of VA writers with a focus on changes companies observed and planned to ...

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    • Authors: Michael Beck, David W McLeroy, Jiajun Lu
    • Date: Sep 2020
    • Competency: External Forces & Industry Knowledge
    • Publication Name: The Financial Reporter
    • Topics: Annuities; Annuities>Variable annuities; Experience Studies & Data; Experience Studies & Data>Policyholder or participant behavior - Experience
  • Session 099: The Connection Between Oral Health and Medical Outcomes
    Session 099: The Connection Between Oral Health and Medical Outcomes The Triple Aim is a vision to improve the health of populations, create a better quality of life, and reduce per capita ...

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    • Authors: Dimple A Ambooken , Jan Grutzius, Court Melin , Herschel Reich, Ginny Roberts
    • Date: May 2019
    • Competency: Strategic Insight and Integration
    • Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Health & Disability>Health care
  • Session 061: What Industry Data Tells Us About Policyholder Behavior
    Session 061: What Industry Data Tells Us About Policyholder Behavior This session meets the needs of life insurance actuaries who are focused on experience studies, assumption setting, and/or ...

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    • Authors: Aisling Bradfield, Lisa Seeman, Colin Sproat
    • Date: Jan 2020
    • Competency: External Forces & Industry Knowledge
    • Topics: Experience Studies & Data; Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance; Life Insurance>Product development - Life Insurance
  • Session 35: Established and Emerging Data Sources to Understand and Manage Risk
    Session 35: Established and Emerging Data Sources to Understand and Manage Risk An increasing number of new data sources are available, from credit and electronic medical records to physical ...

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    • Authors: Yara Rogers-Silva, Niall Maguire, Katherine McLaughlin, Amy Suzanne Whinnett
    • Date: May 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance>Underwriting - Life Insurance
  • Session 134: How to Get Real Results in Policyholder Behavior Modeling
    Session 134: How to Get Real Results in Policyholder Behavior Modeling The insurance industry has a lot to learn from academia's missteps. With predictive analytics assuming an ever-expanding ...

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    • Authors: Rosmery Cruz, Timothy S Paris
    • Date: Feb 2020
    • Competency: External Forces & Industry Knowledge
    • Topics: Annuities; Annuities>Policyholder behavior - Annuities; Experience Studies & Data>Policyholder or participant behavior - Experience