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Standards: XTbML Tables Beyond Mortality
Standards: XTbML Tables Beyond Mortality This article highlights business use cases where XTbML can ...- Date: May 2004
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: CompAct
- Topics: Experience Studies & Data; Technology & Applications>Computer science
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Deep Learning and Actuarial Experience Analysis
Deep Learning and Actuarial Experience Analysis Deep learning neural network applied to ... analysis for post-level term lapse and mortality. Neural networks, Mortality Assumption, Persistency 5/16/2019 ...- 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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R Corner: Predictive Modeling - Tree Models
instance, individuals who have a non-commercial pilot’s license, poor credit or high blood pressure, we will ... we may want to approximate what the policyholder’s rating may be if he or she have all three risks, or ...- Authors: Steven Craighead
- Date: May 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: CompAct
- Topics: Experience Studies & Data
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R Corner – Predictive Modeling - Data
R Corner – Predictive Modeling - Data When developing any actuarial model, frequently locating ... [9] "Distance" "RMS" "Source" "EventID" Now, let’s look at a different source of data. Dataset Package ...
- Authors: Steven Craighead
- Date: Mar 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: CompAct
- Topics: Experience Studies & Data