Vacation portfolio decisions : analysis using a Bayesian belief network

A.B. Grigolon; A.D.A.M. Kemperman; H.J.P. Timmermans

Vacation portfolio decisions : analysis using a Bayesian belief network

A.B. Grigolon
, A.D.A.M. Kemperman
, H.J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	English
Title of host publication	Proceedings of 18th conference of the European institute of retailing and services studies, 15-18 July 2011, San Diego, United States of America
Number of pages	10
Publication status	Published - 2011
Externally published	Yes

Keywords

ADLIB-ART-4734

Cite this

@inproceedings{2eb3c3c3821543309d69de5c371bcd05,

title = "Vacation portfolio decisions : analysis using a Bayesian belief network",

keywords = "ADLIB-ART-4734",

author = "A.B. Grigolon and A.D.A.M. Kemperman and H.J.P. Timmermans",

year = "2011",

language = "English",

booktitle = "Proceedings of 18th conference of the European institute of retailing and services studies, 15-18 July 2011, San Diego, United States of America",

}

Vacation portfolio decisions : analysis using a Bayesian belief network. / Grigolon, A.B.; Kemperman, A.D.A.M.; Timmermans, H.J.P.
Proceedings of 18th conference of the European institute of retailing and services studies, 15-18 July 2011, San Diego, United States of America. 2011.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Vacation portfolio decisions : analysis using a Bayesian belief network

AU - Grigolon, A.B.

AU - Kemperman, A.D.A.M.

AU - Timmermans, H.J.P.

PY - 2011

Y1 - 2011

KW - ADLIB-ART-4734

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2011/conf/grigolon_vac.pdf

M3 - Conference contribution

BT - Proceedings of 18th conference of the European institute of retailing and services studies, 15-18 July 2011, San Diego, United States of America

ER -

Vacation portfolio decisions : analysis using a Bayesian belief network

Keywords

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Cite this