We first analyse the general problem of admissible conditioning and next consider the evaluation of the loss of information when a non-admissible conditioning is used as an approximation of the exact posterior distribution. Considering the case of Fisher test, we evaluate from a Bayesian point...

In this paper, we develop a Bayesian analysis of semi-parametric binary choice model. The prior specification of the functional parameter, namely the distribution function of a latent variable, is of the Dirichlet process type and the prior specification of the Euclidean parameter, namely the...

The paper considers parametric and nonparametric estimation of the distribution function F. Issues of particular interest are the identification properties of this model and, in the nonparametric case, the speed of convergence of the estimator F. The latter depends upon the properties of the...

As the structure of consumer preferences plays a crucial role in the analysis of differentiated product markets, estimation of demand systems is a sensitive task. This paper contributes to this project in two ways. First, we develop a method to deal with the simultaneous choice of an equipment...

In addition to showing the connection between parallel contingent and noncontingent risk comparison problems, we articulate a method for solving both kinds of problems using the "basis" approach. The basis approach has often been used implicitly, but we argue that there is value to making its...

This paper studies a classical extension of the Black and Scholes model of option pricing, often known as the Hull and White model. Our specificity is that the volatility process is assumed not only to be stochastic, but also to have long memory features and properties. We study here the...