2026-09-18T20:15:25Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/30947 2023-07-10 col_2142_5131 col_2142_17362 com_2142_5130 com_2142_17361 com_2142_8903

He, Xuming He, Xuming Douglas, Jeffrey A. Qu, Peiyong Martinsek, Adam T. Condon, Erin 2012-05-22T00:17:42Z 2012-05-22T00:17:42Z 2012-05 2012-05-22T00:17:42Z 2012-05 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. Item withdrawn by Alexis Thompson (athmpsn1@illinois.edu) on 2012-04-17T16:24:16Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Condon_Erin.pdf: 707291 bytes, checksum: 9693f3c735cc47136ce33f8d2159940e (MD5) Made available in DSpace on 2012-05-22T00:17:42Z (GMT). No. of bitstreams: 2 Condon_Erin.pdf: 715901 bytes, checksum: 6ca7798c7c6fd7c5168fdfedb2440fcb (MD5) license.txt: 4061 bytes, checksum: 45eb9c7ac0ce1105a6845de1ba676bb8 (MD5) http://hdl.handle.net/2142/30947 en Copyright 2012 Erin Condon varying coefficients group LASSO marketing research logistic regression Least Absolute Selection and Shrinkage Operator (LASSO) Varying Coefficients in Logistic Regression with Applications to Marketing Research text Statistics 1583 Statistics 0329 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Statistics -UIUC 10KS0329PHD