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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, ...- 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
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All About Them Curves: Ordered Lorenz Curves and Lift Curves
All About Them Curves: Ordered Lorenz Curves and Lift Curves Feature article discussing the usefulness of Lorenz and Lift curves. Predictive Analytics, Futurism 6/6/2019 12:00:00 AM ...- Authors: Michael Niemerg
- Date: Jun 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Chairperson's Corner
Chairperson's Corner Chairperson's column for the May 2019 issue of Predictive Analytics & Futurism. Predictive Analytics, Futurism 6/6/2019 12:00:00 AM ...- Authors: Eileen Sheila Burns
- Date: Jun 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Predictive Analytics in a Chaotic Data World
Predictive Analytics in a Chaotic Data World Often actuarial practitioners are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest ...- Authors: Wai Chan
- Date: Sep 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Topics: Predictive Analytics; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
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Session 074: Using Predictive Analytics to Prescribe Care
Session 074: Using Predictive Analytics to Prescribe Care The advent of machine learning algorithms has taken predictive analytics and risk scoring to a new level. From gradient boosting ...- Authors: Johann Leida, Joseph Charles Long, Joseph Michael Dorocak , Donald Michael McLellan
- Date: May 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Health & Disability>Health risks; Predictive Analytics
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Session 07:B/I - Jupyter Notebooks: Interactive, Sharable Documents Consolidating Input, Output, and Documentation Across Multiple Programming Languages
Session 07:B/I - Jupyter Notebooks: Interactive, Sharable Documents Consolidating Input, Output, and Documentation Across Multiple Programming Languages Data science and predictive analytics are ...- Authors: Nicholas Hanewinckel, Julia Druce
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Predictive Analytics
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Session 058: Does It Really Work? - Validating Predictive Models
Session 058: Does It Really Work? - Validating Predictive Models You’ve built or updated a predictive model. Is it any good? How can you interpret and understand its predictions? How does it ...- Date: Jul 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods>Sensitivity testing; Predictive Analytics>Modeling techniques
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Government Sponsored Health Actuarial Initiatives in Colombia
Government Sponsored Health Actuarial Initiatives in Colombia Highlights of two 2018 health events organized by the Colombian Association of Actuaries and sponsored by the Colombian Government.- Authors: Armando Zarruk
- Date: Nov 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: International News
- Topics: Health & Disability>Health risks; Predictive Analytics; Predictive Analytics>Modeling techniques
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Semi-Supervised Learning with Generative Adversarial Networks
Semi-Supervised Learning with Generative Adversarial Networks This article discusses how to handle semisupervised data. This type of data might have a large number of observations, yet a small ...- Authors: Jeff T Heaton
- Date: Aug 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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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