2008/05/31 by Jie Peng, Hans‐Georg Müller, Hans-Georg Müller · 2 citations
Business, Management and Accounting · Computer Science · Decision Sciences · Mathematics · #Auction Theory and Applications #Bayesian Methods and Mixture Models #Consumer Market Behavior and Pricing #stat.AP #stat.ME
paper · pdf · doi:10.1214/08-aoas172
published as Annals of Applied Statistics 2008, Vol. 2, No. 3, 1056-1077 · Published in at http://dx.doi.org/10.1214/08-AOAS172 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openalex publication_date 2008/09/01 · arxiv created 2008/11/17 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
We propose a distance between two realizations of a random process where for each realization only sparse and irregularly spaced measurements with additional measurement errors are available. Such data occur commonly in longitudinal studies and online trading data. A distance measure then makes it possible to apply distance-based analysis such as classification, clustering and multidimensional scaling for irregularly sampled longitudinal data. Once a suitable distance measure for sparsely sampled longitudinal trajectories has been found, we apply distance-based clustering methods to eBay online auction data. We identify six distinct clusters of bidding patterns. Each of these bidding patterns is found to be associated with a specific chance to obtain the auctioned item at a reasonable price.