Two Classes of Stochastic Tree Unfolding Models

J. Douglas Carroll; Wayne S. DeSarbo; Geert De Soete

doi:10.1016/S0166-4115(08)60235-6

Two Classes of Stochastic Tree Unfolding Models

J. Douglas Carroll, Wayne S. DeSarbo, Geert De Soete

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Abstract

In this paper we propose two versions of stochastic choice models based on tree structure models — called “tree unfolding models”. These models can be viewed as discrete (tree structure) analogues of a recently proposed class of continuous (spatial) random utility models for paired comparisons choice data called the “wandering vector” and “wandering ideal point” models.

Original language	English (US)
Pages (from-to)	161-176
Number of pages	16
Journal	Advances in Psychology
Volume	60
Issue number	C
DOIs	https://doi.org/10.1016/S0166-4115(08)60235-6
State	Published - Jan 1 1989

All Science Journal Classification (ASJC) codes

General Psychology

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10.1016/S0166-4115(08)60235-6

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title = "Two Classes of Stochastic Tree Unfolding Models",

abstract = "In this paper we propose two versions of stochastic choice models based on tree structure models — called “tree unfolding models”. These models can be viewed as discrete (tree structure) analogues of a recently proposed class of continuous (spatial) random utility models for paired comparisons choice data called the “wandering vector” and “wandering ideal point” models.",

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AB - In this paper we propose two versions of stochastic choice models based on tree structure models — called “tree unfolding models”. These models can be viewed as discrete (tree structure) analogues of a recently proposed class of continuous (spatial) random utility models for paired comparisons choice data called the “wandering vector” and “wandering ideal point” models.

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Two Classes of Stochastic Tree Unfolding Models

Abstract

All Science Journal Classification (ASJC) codes

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