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Rijthoven, M. van

( M. van Rijthoven)


model brand method dataset choice network brand j ensemble ensemble methods purchase brand choice problem household variable weight algorithm problem consumer vroomen error rate performance training error number marketing j x i validation consideration instance coefficient occasion brand choice probability modeling detergent research j brands accuracy parameter sample layer value logit journal experiment increase sequence base models modeling brand choice price description product scanner result purchase occasion situation error rate errm european journal j =1 exp purchase occasion i vroomen model logit model brand choice dataset chapter idea group publishing marketing literature scanner data technique network model potharst literature hruschka iteration equation characteristic hastie comparison stage intelligence output factor




1 Most Recent Publications

Modeling brand choice using boosted and stacked neural networks (Research Paper)
Potharst, R. Rijthoven, M. van Wezel, M.C. van
2005-03-10