Click here to go to the previous page
aRm Yourself for the Future — An Introduction to the R Statistical Computing Environment Webinar
Program Code:
090
SPEAKER
(S):
Kevin Burke is an Actuary at Alfa Mutual Insurance Company in Montgomery, Alabama. His primary responsibilities are personal property ratemaking, analyzing beach pool exposure, and special projects. Kevin is a Fellow of the Casualty Actuarial Society and a member of the American Academy of Actuaries. He is also a Charted Property Casualty Underwriter (CPCU), Associate in Reinsurance (ARe), and Associate in Underwriting (AU). In addition to his insurance designations, Kevin has a Ph.D. in Mathematics from the State University of New York at Albany.
|
Lee Bowron has been in the insurance industry for 20 years and has been a consultant for the past 9 years at Kerper and Bowron LLC. He is a member of the CAS Ratemaking Committee and co-chair of the R Working Party for the CAS. His practice focuses on extended warranty, personal and commercial lines, and environmental reserving as well as price optimization projects.
|
James Guszcza, National Predictive Analytics Lead,
Deloitte Consulting LLP
James Guszcza is the national predictive analytics leader in Deloitte Consulting’s Actuarial and Insurance Solutions practice, where he has built numerous predictive models for personal lines, commercial lines, life insurance, health care applications, and other industries. Prior to joining Deloitte, Jim worked for the Allstate Insurance Company. Jim is a frequent contributor to CAS seminars and publications and has co-taught the CAS Limited Attendance Seminar in Predictive Modeling. In 2008 Jim was awarded the Ronald Bornhuetter Loss Reserve Prize for best call paper. Jim is a Fellow of the Casualty Actuarial Society and a Member of the American Academy of Actuaries. He holds a BA in Liberal Arts from St. John’s College and a Ph.D. in Philosophy from the University of Chicago.
|
Description
Program Description
This session will provide a detailed introduction to the R statistical computing package. R is both an open source language and computing environment with very strong statistical and graphical capabilities. The R project benefits from the active participation of a rapidly expanding global network of users and academics, and is quickly gaining traction within the global actuarial community.
Starting with installation of the software and continuing with an introduction to the R programming language, the session will provide a strong foundation from which attendees will be able to explore R for themselves. The session will first introduce such basic mechanics of the R environment as loading and manipulating data, reading and writing script files, and data exploration. The session will also cover some of the more sophisticated capabilities of R, such as building and graphically analyzing generalized linear models. One or more property-casualty case studies involving real data will be included.
Note: It is not necessary to install or use R prior to or during the webinar.
Intended Audience
This webinar will be most suitable for those who have a keen interest in the R programming language but who have little or no experience with it. It is intended to be introductory in nature and will therefore contain some of the minutiae of using a command-line interface.