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Session 18: AP - Using Predictive Models for Life Insurance Assumptions
Session 18: AP - Using Predictive Models for Life Insurance Assumptions Predictive modeling is a powerful ... powerful toolset for assumption setting (mortality, lapse, etc.). The multivariate approach has its advantages ...- Authors: Rosmery Cruz, Dihui Lai
- Date: Sep 2019
- Competency: Strategic Insight and Integration
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Management skills; Technology & Applications>Artificial intelligence & machine learning
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Session 24: B/I - How Can an Actuary Become a Data Scientist?
data, variance structure ▪ Binomial for rate (mortality/lapse/UW, etc.), 2 ~ r(1-r) ▪ Poisson for claim ... Boosting ▪ Support vector machine ▪ Ensemble method ▪ Survey Data Analysis ▪ Genetic Algorithms ▪ Sentiment ...- Authors: Rosmery Cruz, Qichun Xu
- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Topics: Actuarial Profession>Professional development
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Dangers of Overfitting in Predictive Analytics
to make decisions about how to bin age groups, group time points, etc. However, for increased robustness ... represents life expectancy. The goal of this exercise is to estimate two models that relate life expectancy ...- Authors: Rosmery Cruz
- Date: Dec 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Session 134: How to Get Real Results in Policyholder Behavior Modeling
correctly report the primary outcome they set out to measure and Didn’t properly report all secondary ... processing and also from choices in analysis • A group of researchers plans to compare three dosages of ...- 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
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How Significant Is Statistical Significance?
income affects mortality. The null hypothesis suggests that income does not affect mortality. Thus, B equals ... not equal zero, mean- ing that income affects mortality (either positive or negative). Tests of statistical ...- Authors: Rosmery Cruz
- Date: Aug 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Session 33: B/I - Languages of Predictive Analytics (PA): A Tower of Babel?
Actuaries (SOA), nor the views of Reinsurance Group of America (RGA). 3 Programming Languages ... No ranking points, but lots of fun! Predict mortality – did passenger: Survive? Perish? From ...- Authors: Rosmery Cruz, Jeff T Heaton
- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Topics: Technology & Applications>Computer science; Technology & Applications>Software