University of Illinois Urbana-Champaign

Varying Coefficients in Logistic Regression with Applications to Marketing Research

Condon, Erin

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Condon_Erin.pdf

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https://hdl.handle.net/2142/30947

Description

Title
Varying Coefficients in Logistic Regression with Applications to Marketing Research
Author(s)
Condon, Erin
Issue Date
2012-05-22T00:17:42Z
Director of Research (if dissertation) or Advisor (if thesis)
He, Xuming
Doctoral Committee Chair(s)
He, Xuming
Committee Member(s)
  • Douglas, Jeffrey A.
  • Qu, Peiyong
  • Martinsek, Adam T.
Department of Study
Statistics
Discipline
Statistics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2012-05-22T00:17:42Z
Keyword(s)
  • varying coefficients
  • group LASSO
  • marketing research
  • logistic regression
  • Least Absolute Selection and Shrinkage Operator (LASSO)
Abstract
In the marketing research world today, companies have access to massive amounts of data regarding the purchase behavior of consumers. Researchers study this data to understand how outside factors, such as demographics and marketing tools, affect the probability that a given consumer will make a purchase. Through the use of panel data, we tackle these questions and propose a logistic regression model in which coefficients can vary based on a consumer's purchase history. We also introduce a two-step procedure for model selection that uses a group LASSO penalty to decide which are informative and which variables need varying coefficients in the model.
Graduation Semester
2012-05
Permalink
http://hdl.handle.net/2142/30947
Copyright and License Information
Copyright 2012 Erin Condon

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