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  • Calibrating Risk Score Model with Partial Credibility
    Calibrating Risk Score Model with Partial Credibility by Shea Parkes and Brad Armstrong Learn how to use concepts like ridge regression to train a model with partial credibility. Predictive ...
    • Authors: Sheamus Parkes, Brad Armstrong
    • Date: Oct 2015
    • Competency: Results-Oriented Solutions>Actionable recommendations; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Expanding Horizons
    • Topics: Health & Disability>Health care; Health & Disability>Health insurance; Health & Disability>Health risks; Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Estimation methods; Predictive Analytics
  • The Technical Corner
    The Technical Corner This article looks at an extensive integrated collection of financial mathematical modeling packages available in R, a language and environment for statistical computing.

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    • Authors: Steven Craighead
    • Date: Sep 2007
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Expanding Horizons
    • Topics: Modeling & Statistical Methods; Technology & Applications>Software
  • R Corner - Predictive Models and Universal Theorems
    R Corner - Predictive Models and Universal Theorems A discussion on the four universal theorems that are useful when building models. By Steve Craighead Univeral Theorems;Projection Pursuit ...
    • Authors: Steven Craighead
    • Date: Nov 2016
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: CompAct
    • Topics: Modeling & Statistical Methods
  • R Corner
    R Corner This article discusses how to get data into and out of R, an open source language for statistical computing. Computer science;Predictive modeling; <!-- InstanceBeginEditable ...

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    • Authors: Steven Craighead
    • Date: Oct 2008
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Expanding Horizons
    • Topics: Modeling & Statistical Methods; Technology & Applications>Software
  • GPUs: How We Went From Zombie Blood Splatter To Financial Projections
    GPUs: How We Went From Zombie Blood Splatter To Financial Projections GPUs are structured differently from CPUs in that they are designed to process many small programs or functions ...
    • Authors: Chris Stiefeling
    • Date: Oct 2013
    • Competency: Leadership>Thought leadership; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: CompAct
    • Topics: Annuities>Variable annuities; Modeling & Statistical Methods>Stochastic models; Technology & Applications>Computer science; Technology & Applications>Software
  • The R Corner
    The R Corner A disscussion of actuar R, an R package for actuarial science, and its facilities in the fields of loss distribution modeling, risk theory and credibility theory. Computer science; ...

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    • Authors: Steven Craighead
    • Date: Feb 2008
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Expanding Horizons
    • Topics: Modeling & Statistical Methods; Technology & Applications>Software
  • Kaggle Case Study – Charles Cadman
    Kaggle Case Study – Charles Cadman Charles Cadman and his team may be new to Kaggle’s data science challenges, but that didn’t stop them from achieving a top-ten finish. Data Science;Kaggle; ...

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    • Authors: Society of Actuaries
    • Date: Dec 2017
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Modeling & Statistical Methods>Data mining
  • Kaggle Case Study – Michael Xiao
    Kaggle Case Study – Michael Xiao Hear from Michael Xiao about how actuaries are combining business knowledge and data science skills to excel in Kaggle competitions. Kaggle Data ...

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    • Authors: Society of Actuaries
    • Date: Apr 2018
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Modeling & Statistical Methods>Data mining
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