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Session 134: How to Get Real Results in Policyholder Behavior Modeling
Session 134: How to Get Real Results in Policyholder Behavior Modeling The insurance ... insurance industry has a lot to learn from academia's missteps. With predictive analytics assuming an ever-expanding ...- 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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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 toolset for assumption setting (mortality, lapse, etc.). The multivariate approach has its ...- 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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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?
No ranking points, but lots of fun! Predict mortality – did passenger: Survive? Perish? From ... (df[:Age]),:Age]) df[isna.(df[:Embarked]),:Embarked] = "S" pool!(df, [:Sex]); pool!(df, [:Embarked]); Read ...- Authors: Rosmery Cruz, Jeff T Heaton
- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Topics: Technology & Applications>Computer science; Technology & Applications>Software
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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 ... large data set & complex model • 𝛽𝑛+1=𝛽𝑛– H −1 ∙ s, similar to Newton’s method 𝑥𝑛+1=𝑥𝑛– 𝑓(𝑥𝑛)/𝑓 ...- Authors: Rosmery Cruz, Qichun Xu
- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Topics: Actuarial Profession>Professional development