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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
- Topics: Predictive Analytics; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
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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 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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Quantile Regression - A New Actuarial Approach to Claims Estimation
Quantile Regression - A New Actuarial Approach to Claims Estimation Health claims are not normally distributed. Claims Forecasting can be improved by understanding the entire distribution of ...- Authors: Robert Jason Reed (Jason)
- Date: Apr 2020
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Health Watch
- Topics: Health & Disability; Predictive Analytics; Health & Disability>Claims - Health & Disability; Predictive Analytics>Modeling techniques
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GET BETTER ACQUAINTED WITH YOUR KNOWN UNKNOWNS
GET BETTER ACQUAINTED WITH YOUR KNOWN UNKNOWNS Uncertainty of a predictive model is a fact of life that many insurers could be overlooking at their peril without a framework for assessing it. The ...- Authors: Dan Kim, Boyang Meng
- Date: Apr 2020
- Competency: Results-Oriented Solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Experience Studies & Data>Mortality; Predictive Analytics>Modeling techniques; Predictive Analytics>Quality control & model governance
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Session 30 - Applications of Machine Learning in Life Insurance Modeling
Session 30 - Applications of Machine Learning in Life Insurance Modeling Discussion of machine learning applications currently being used to augment traditional actuarial modeling in the life ...- Authors: Zachary Stenberg
- Date: Aug 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods>Estimation methods; Predictive Analytics>Modeling techniques
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Deep Learning and Actuarial Experience Analysis
Deep Learning and Actuarial Experience Analysis Deep learning neural network applied to experience analysis for post-level term lapse and mortality. Neural networks, Mortality Assumption, ...- Authors: Kevin Kuo, Robert Crompton
- Date: May 2019
- Competency: Results-Oriented Solutions
- Publication Name: CompAct
- Topics: Experience Studies & Data; Experience Studies & Data>Mortality; Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
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Predictiveness vs. Interpretability
Predictiveness vs. Interpretability We compare two predictive analytics methods - GLM and GBM in terms of predictiveness vs. interpretability. GLM, GBM, Predictive Analytics 10/17/2019 12:00:00 ...- Authors: Kimberly Steiner, Boyang Meng
- Date: Oct 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: CompAct
- Topics: Predictive Analytics; Predictive Analytics>Modeling techniques