Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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Tweet | ||
180 | Mon, 8/4/2014, 10:30 AM - 12:20 PM | CC-105 | |
Choice, Maxdiff, and Tweets — Contributed Papers | |||
Section on Statistics in Marketing | |||
Chair(s): Julia Bienias, A.C. Nielsen | |||
10:35 AM | Sanitation Inspector Allocation in San Francisco Using Yelp Reviews — Guillaume Pouliot ; Michael Luca, Harvard Business School | ||
10:50 AM | Products Cannibalization and Synergy Estimation via MaxDiff Data — Stan S. Lipovetsky, GfK ; Michael W. Conklin, GfK | ||
11:05 AM | Using MaxDiff Scaling for Message Bundle Optimization in Presence of Interaction Effects — Faina Shmulyian, Markettools ; Dimitri Liakhovitski, GfK | ||
11:20 AM | Best - Worst Conjoint: Does the Model Matter? — Robert Mee, University of Tennessee | ||
11:35 AM | Improving Donor Campaigns Around Crises with Twitter-Analytics — Chen Wang, Robert H. Smith School of Business ; Shawn Mankad, University of Maryland ; William Rand, Robert H. Smith School of Business | ||
11:50 AM | On the Modeling of Exchange Rates with Twitter Network Covariates — Mario A. Morales, tatt.io ; Ivan Zalamea, PlaceIQ | ||
12:05 PM | The Good, the Bad, and the Fitting: A Hierarchical Bayes Model for Patient Preferences Elicited Through Discrete Choice Experiments — Anna Liza Malazarte Antonio, University of California, Los Angeles ; Catherine Crespi, University of California, Los Angeles ; Robert E. Weiss, University of California, Los Angeles ; Christopher Saigal, University of California, Los Angeles |
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