Title: A non-parametric test of stochastic preferences
Authors: Smeulders, Bart
Regenwetter, M.
Spieksma, Frits
Issue Date: 2014
Host Document: Workshop Notes
Conference: International Workshop on Computational Social Choice edition:5 location:Pittsburgh (US) date:23-25 June 2014
Abstract: In this paper we present algorithms to test a theory of stochastic preferences on binary choice data. For the general case, where preferences can be any strict linear
order, a column generation algorithm is given. This algorithm can be easily adjusted to test for specific classes of preferences or to account for different kinds of data. We perform preliminary experiments showing the viability of this method. Furthermore, we look at the special case of single-peaked preferences and show that for this class, a test of stochastic preferences can be done in polynomial time by checking the data for a simple condition.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven

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