TY - GEN
T1 - Maximum likelihood based sparse and distributed conjoint analysis
AU - Tsakonas, Efthymios
AU - Jalden, Joakim
AU - Sidiropoulos, Nicholas D.
AU - Ottersten, Bjorn
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - A new statistical model for choice-based conjoint analysis is proposed. The model uses auxiliary variables to account for outliers and to detect the salient features that influence decisions. Unlike recent classification-based approaches to choice-based conjoint analysis, a sparsity-aware maximum likelihood (ML) formulation is proposed to estimate the model parameters. The proposed approach is conceptually appealing, mathematically tractable, and is also well-suited for distributed implementation. Its performance is tested and compared to the prior state-of-art using synthetic as well as real data coming from a conjoint choice experiment for coffee makers, with very promising results.
AB - A new statistical model for choice-based conjoint analysis is proposed. The model uses auxiliary variables to account for outliers and to detect the salient features that influence decisions. Unlike recent classification-based approaches to choice-based conjoint analysis, a sparsity-aware maximum likelihood (ML) formulation is proposed to estimate the model parameters. The proposed approach is conceptually appealing, mathematically tractable, and is also well-suited for distributed implementation. Its performance is tested and compared to the prior state-of-art using synthetic as well as real data coming from a conjoint choice experiment for coffee makers, with very promising results.
UR - http://www.scopus.com/inward/record.url?scp=84868220098&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868220098&partnerID=8YFLogxK
U2 - 10.1109/SSP.2012.6319698
DO - 10.1109/SSP.2012.6319698
M3 - Conference contribution
AN - SCOPUS:84868220098
SN - 9781467301831
T3 - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
SP - 33
EP - 36
BT - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
T2 - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Y2 - 5 August 2012 through 8 August 2012
ER -