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Python Libraries for Mortality Modeling
Python Libraries for Mortality Modeling Python is the leading programming language for data science. Python programming is one skill that actuaries should acquire. It facilitates analytic work, ...- Authors: Carlos Brioso
- Date: Nov 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuary of the Future
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Regression analysis; Predictive Analytics; Predictive Analytics>Programming languages & tools
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What Every Insurer Needs to Know About Impact Investing
What Every Insurer Needs to Know About Impact Investing Impact investing is investments in “companies, organizations and funds with the intention to generate social impact alongside a financial ...- Authors: Syed Danish Ali
- Date: Dec 2017
- Competency: Leadership>Thought leadership; Strategic Insight and Integration>Big picture view
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Social Insurance
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Seven Quantitative Insights into Active Management—Part 5 Data Mining Is Easy
Seven Quantitative Insights into Active Management—Part 5 Data Mining Is Easy This article discusses data mining and the statistics of coincidence, and provides “guidelines for backtesting ...- Authors: Ronald Kahn
- Date: Mar 1998
- Competency: External Forces & Industry Knowledge
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Data mining
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The Third Generation of Neural Networks
The Third Generation of Neural Networks Neural networks have fallen only to rise again twice. The latest incarnation borrows much from the past but adds elements to support deep learning. This ...- Authors: Jeff T Heaton
- Date: Dec 2015
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining
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Retirees versus Active Workers: What is the Cost Difference?
Retirees versus Active Workers: What is the Cost Difference? Comparison of healthcare costs for early retirees versus active workers in the same age band. When adjusted for age, there is not a ...- Authors: Kristi Bohn, Sarah Legatt
- Date: May 2011
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Health Watch
- Topics: Demography>Population data; Modeling & Statistical Methods>Data mining
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Controlling Indirect Selection under Healthcare Reform
Controlling Indirect Selection under Healthcare Reform This dissertation by Tia Sawhney will help you understand this issue and start measuring it, or start promoting equitable public policy.- Authors: Tia Sawhney
- Date: Nov 2012
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Economics>Health economics; Enterprise Risk Management>Risk measurement - ERM; Health & Disability>Payment models; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Modeling efficiency; Predictive Analytics
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R Corner – Ring of Fire
R Corner – Ring of Fire <p>In this article, we will look at how to download worldwide earthquake data and load it into R and use the “maps” and “mapproj” packages to display the Ring of Fire ...- Authors: Steven Craighead
- Date: Oct 2012
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: CompAct
- Topics: Modeling & Statistical Methods>Data mining
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Models that make the cut
Models that make the cut How do you make model output media worthy? This article explores considerations that may contribute to the mass production of model results for public consumption. 6/10/ ...- Authors: Nathan Worrell
- Date: Jun 2020
- Competency: Communication; Results-Oriented Solutions
- Publication Name: The Modeling Platform
- Topics: Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Simulation
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Predictive Modeling
Predictive Modeling A general introduction about predictive modeling in insurance applications. Some basic models are discussed, such as Generalized Linear Model(GLM), Calssification and ...- Authors: Qichun Xu
- Date: Jul 2013
- Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Forecasting
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Cancer Experience Study Data Requirements
Cancer Experience Study Data Requirements Data requirements for the Society of Actuaries cancer experience study, for those submitting exposure and claim information. Assumptions;Cancer;Health ...- Authors: Society of Actuaries
- Date: Jun 2005
- Competency: Communication; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Experience Studies & Data; Health & Disability; Modeling & Statistical Methods>Data mining