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  • An R Package for Experience Studies
    An R Package for Experience Studies A description of the operation of an R package for experience studies. Premium patterns, lapse rates, and mortality rates can be calculated. R, Python, ...

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    • Authors: Matthew Caseres
    • Date: Nov 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: The Modeling Platform
    • Topics: Predictive Analytics; Experience Studies & Data>Rate calculations; Predictive Analytics>Programming languages & tools
  • The Impact on Relative Mortality and Prevalence from Triage in an Accelerated Underwriting Program
    The Impact on Relative Mortality and Prevalence from Triage in an Accelerated Underwriting Program Accelerated underwriting programs continue to evolve at a rapid pace. Triage systems have become ...

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    • Authors: Timothy Morant, Philip Janz
    • Date: Aug 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Reinsurance News
    • Topics: Experience Studies & Data>Mortality; Life Insurance>Pricing - Life Insurance; Life Insurance>Product development - Life Insurance; Experience Studies & Data>Distributions / Distribution assumptions; Life Insurance>Accelerated underwriting
  • Thoughts on How An Actuarial Control Cycle Can Apply to Accelerated Underwriting
    Thoughts on How An Actuarial Control Cycle Can Apply to Accelerated Underwriting This article provides a very high level overview of accelerated underwriting programs and their history in the US ...

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    • Authors: Timothy Morant
    • Date: Jun 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Risk Management
    • Topics: Enterprise Risk Management>Risk measurement - ERM; Experience Studies & Data; Experience Studies & Data>Mortality
  • Highlights and Implications of the PBR Assumptions Resource Manual
    Highlights and Implications of the PBR Assumptions Resource Manual The article highlights the key components of the PBR resource manual and analyze its implications for companies' assumption ...

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    • Authors: Ying Zhao
    • Date: Sep 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: The Financial Reporter
    • Topics: Experience Studies & Data
  • 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