Probabilistic models of set-dependent and attribute-level best–worst choice

Probabilistic Choice Models

This chapter examines different models commonly used to model probabilistic choice, such as eg the choice of one type of transportation from among many choices available to the consumer. Section 1 discusses derivation and limitations of conditional logit models. Section 2 discusses probit models and Section 3 discusses the nested logit (generalized extreme value models), which address some of t...

Models Supporting Nondeterminism and Probabilistic Choice

In this paper we describe the problems encountered in building a semantic model that supports both nondeterministic choice and probabilistic choice. Several models exist that support both of these constructs, but none that we know of satis es all the laws one would like. Using domain-theoretic techniques, we show how a model can be devised \on top of" certain models for probabilistic choice, so...

Evaluation of choice set generation algorithms for route choice models

This paper discusses choice set generation and route choice model estimation for large-scale urban networks. Evaluating the effectiveness of Advanced Traveler Information Systems (ATIS) requires accurate models of how drivers choose routes based on their awareness of the roadway network and their perceptions of travel time. Many of the route choice models presented in the literature pay little ...

Limitations of exemplar models of multi-attribute probabilistic inference.

Observers were presented with pairs of objects varying along binary-valued attributes and learned to predict which member of each pair had a greater value on a continuously varying criterion variable. The predictions from exemplar models of categorization were contrasted with classic alternative models, including generalized versions of a "take-the-best" model and a weighted-additive model, by ...

Probabilistic Models for Qualitative Choice Behavior Handout