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SUMMARY:JMP Webinar: An Introduction to Variable Selection Using Advanced
Regression Techniques
DTSTART:20231109T140000Z
DTEND:20231109T150000Z
DTSTAMP:20240302T205000Z
UID:indico-event-47@conferences.enbis.org
DESCRIPTION:Speakers: Murat Caner Testik (Hacettepe University)\n\n\n\n\n\
nAn Introduction to Variable Selection Using Advanced Regression Technique
s\n\nSpeakers: \n\nClay Barker\, Principal Research Statistician Develop
er at JMP\n\nDate: Nov. 9th\, 3pm – 4pm CET\n\nAbstract:\n\n"Less is m
ore" may seem like a trite expression\, but it is a useful motto when it c
omes to building regression models. As data sets get bigger and we may hav
e hundreds of predictors or more\, powerful tools to help us choose a subs
et of predictors for explaining our response variable are more important t
han ever before. In this webinar\, we will introduce a handful of automate
d variable selection techniques like forward selection and the Lasso. Atte
ndees will also learn how to evaluate regression models using informatio
n criteria (like the AIC) and cross validation. The Generalized Regression
platform in JMP Pro will be used to demonstrate the techniques on example
data sets. \n\nBio:\n\nClay Barker is a Principal Research Statistician
Developer for JMP\, a subsidiary of SAS. While his focus has been on deve
loping variable selection tools for generalized linear models\, Clay has
also developed tools in for a variety of analyses including nonlinear reg
ression\, wavelets\, and clustering. Clay earned his PhD in statistics f
rom North Carolina State University.\n\n\n\n \n\n \n\nhttps://conference
s.enbis.org/event/47/
URL:https://conferences.enbis.org/event/47/
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