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SUMMARY:Discrete Choice Analysis\, Predicting Demand and Market Shares
DTSTART:20130324T090000
DTEND:20130328T170000
DTSTAMP:20260407T025739Z
UID:50ac6fe2e2b39e03116e3f21f1fa53fd5332395f6b2409ba767d851f
CATEGORIES:Conferences - Seminars
DESCRIPTION:• Prof. Moshe Ben-Akiva\, Massachusetts Institute of Technol
 ogy\n• Prof. Michel Bierlaire\, Ecole Polytechnique Fédérale de Lausan
 ne\n• Prof. Daniel McFadden\, University of California\, Berkeley. [Nobe
 l Prize Laureate\, 2000]\n• Prof. Joan Walker\, University of California
 \, Berkeley\nAccurate predictions of the demand and market shares are crit
 ical for a wide variety of businesses and public organizations. Examples o
 f applications include: predicting demand for a new product under alternat
 ive pricing strategies\; designing a business plan for a new technology\; 
 analyzing the impact of a merger on market shares\; forecasting the riders
 hip on a new metropolitan transit service\; and analyzing competitive scen
 arios for introducing a new telecommunication service. To accomplish these
  tasks\, discrete choice analysis provides powerful methodological tools. 
 Based on the modeling of individual behavior\, it is used to model in deta
 il the structure of a market\, and to predict the impact of various scenar
 ios.
LOCATION:BS 270 http://plan.epfl.ch/?lang=fr&room=BS270
STATUS:CONFIRMED
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