Comparison of probabilistic choice models in humans

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...

comparison of catalytic activity of heteropoly compounds in the synthesis of bis(indolyl)alkanes.

heteropoly acids (hpa) and their salts have advantages as catalysts which make them both economically and environmentally attractive, strong br?nsted acidity, exhibiting fast reversible multi-electron redox transformations under rather mild conditions, very high solubility in polar solvents, fairly high thermal stability in the solid states, and efficient oxidizing ability, so that they are imp...

Probabilistic Models for Qualitative Choice Behavior Handout

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...

A Comparison of Three Probabilistic Models of Binary Discrete Choice Under Risk

This paper compares the “out-of-context” predictive success of three probabilistic models of binary discrete choice under risk. One of the models is the conventional homoscedastic latent index or “strong utility” model that is widespread in applied econometrics: This model is “context-free” in the sense that its error part is homoscedastic with respect to decision sets. The other two models are...