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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 ...- 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
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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 ...- 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
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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 ...- 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
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Impacts and Considerations of Statistical Bias in LTC Due to Benefit Reductions
Impacts and Considerations of Statistical Bias in LTC Due to Benefit Reductions This article discusses considerations for statistical biases that may arise in LTC blocks due to historical benefit ...- Authors: Joseph Neary, Jeff Anderson , Courtney Williamson
- Date: Aug 2024
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Publication Name: Long-Term Care News
- Topics: Experience Studies & Data; Experience Studies & Data>Long-term care - Experience Studies & Data; Experience Studies & Data>Morbidity; Experience Studies & Data>Policyholder or participant behavior - Experience ; Long-term Care; Long-term Care>Long-term care insurance; Long-term Care>Incidence - Long-term Care; Long-term Care>Long-term care pricing; Long-term Care>Rates - Long-term Care; Long-term Care>Termination - Long-term Care
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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 ...- 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
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SOA Accelerated Underwriting Practices Survey
SOA Accelerated Underwriting Practices Survey Milliman was engaged by the SOA to conduct two Accelerated Underwriting (AU) surveys, one of direct companies and another of reinsurers. The surveys ...- Authors: Allen Klein
- Date: May 2024
- Competency: External Forces & Industry Knowledge; Professional Values; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Publication Name: Product Matters!
- Topics: Experience Studies & Data>Mortality; Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance>Policyholder behavior - Life Insurance; Life Insurance>Product development - Life Insurance; Life Insurance>Accelerated underwriting
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Analyzing and Predicting Policyholder Behavior at Policy-Level with Machine Learning: Part 1 Traditional Experience Studies and Assumption Setting Methods
Analyzing and Predicting Policyholder Behavior at Policy-Level with Machine Learning: Part 1 Traditional Experience Studies and Assumption Setting Methods In recent years, vast amount of data ...- Authors: Shaio-Tien Pan
- Date: Sep 2024
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: The Financial Reporter
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics>Modeling techniques