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  • Stress and Resiliency Testing: Mandelbrotian Grey Swan Scenarios
    Stress and Resiliency Testing: Mandelbrotian Grey Swan Scenarios 2011 Enterprise Risk Management Symposium, Chicago. This presentation discusses how real world Grey Swan scenarios are ...

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    • Authors: Steven Craighead
    • Date: Mar 2011
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Topics: Enterprise Risk Management
  • 2004 Bowles Symposium: Extreme Value Seminar
    2004 Bowles Symposium: Extreme Value Seminar This article discusses the Extreme Value Seminar at the 2004 Bowles Symposium. 26185 11/1/2004 12:00:00 AM ...

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    • Authors: Steven Craighead
    • Date: Nov 2004
    • Publication Name: Risk Management
  • A Toy Copula1 ERM Model in R2
    A Toy Copula1 ERM Model in R2 Author demonstrates how to link statistical sub-models with copula dependency models using the R copula package 10807 3/1/2008 12:00:00 AM ...

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    • Authors: Steven Craighead
    • Date: Mar 2008
    • Publication Name: Risk Management
  • Analytics You Should Know but Don’t
    Analytics You Should Know but Don’t Overview of the session “Analytics You Should Know, but Don’t” which took place at the 2007 SOA Annual Meeting in which R, an open source language for ...

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    • Authors: Steven Craighead
    • Date: Feb 2008
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Expanding Horizons
    • Topics: Modeling & Statistical Methods; Technology & Applications>Software
  • Quebec City Spring Life Meeting: Session 35—Education and Research Section Continental Breakfast: Review of Section Activities
    Quebec City Spring Life Meeting: Session 35—Education and Research Section Continental Breakfast: Review of Section Activities Article recapping session 35—Education and Research Section ...

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    • Authors: Steven Craighead
    • Date: Oct 2008
    • Publication Name: Expanding Horizons
  • Commuting and ERM
    Commuting and ERM In this article the author compares ERM issues, strategies and scenarios to the process of driving to work on a four-lane highway. N/A; 10746 6/1/2010 12:00:00 AM ...

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    • Authors: Steven Craighead
    • Date: Jun 2010
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Risk Management
    • Topics: Enterprise Risk Management
  • R Corner: Predictive Modeling - Tree Models
    R Corner: Predictive Modeling - Tree Models A look at using tree regression models as predictive models. By Steven Craighead Predictive Modeling;tree;random forest;clustering By Steven Craighead ...
    • Authors: Steven Craighead
    • Date: May 2016
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: CompAct
    • Topics: Experience Studies & Data
  • 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
  • E&R Sessions at 2008 Health Spring Meeting
    E&R Sessions at 2008 Health Spring Meeting Description of the scheduled sessions that are either sponsored or co-sponsored by the E&R Section. ; <!-- InstanceBeginEditable name="Table" ...

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    • Authors: Steven Craighead
    • Date: Feb 2008
    • Publication Name: Expanding Horizons
  • Stochastic Immunization
    Stochastic Immunization From a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 A discussion of how stochastic modeling techniques can be used to ...

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    • Authors: Josephine Marks, Claus S Metzner, Scott E Navin, Steven Craighead, Frederick Slater, Jose Siberon
    • Date: Jun 2000
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods>Stochastic models