Model selection using database characteristics: Developing a classification tree for longitudinal incidence data

Marketing Science

Volumn 33, Issue 2, 2014, Pages 188-205

  Schwartz, Eric M ^a   Bradlow, Eric T ^b   Fader, Peter S ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Business intelligence; Classification tree; Data science; Forecasting; Hidden Markov models; Hierarchical Bayesian methods; Machine learning; Model selection; Posterior predictive model checking; Random forest

Indexed keywords

EID: 84897852250     PISSN: 07322399     EISSN: 1526548X     Source Type: Journal    
DOI: 10.1287/mksc.2013.0825     Document Type: Article

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