J
Jean-Pierre Florens
Researcher at University of Toulouse
Publications - 190
Citations - 5060
Jean-Pierre Florens is an academic researcher from University of Toulouse. The author has contributed to research in topics: Estimator & Nonparametric statistics. The author has an hindex of 33, co-authored 178 publications receiving 4733 citations. Previous affiliations of Jean-Pierre Florens include University College London & Institut d'Economie Industrielle.
Papers
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Nonparametric frontier estimation: a robust approach
TL;DR: In this paper, a nonparametric estimator based on the concept of expected minimum input function (or expected maximal output function) is proposed, which is related to the FDH estimator but will not envelop all the data.
Posted Content
Nonparametric Instrumental Regression
TL;DR: In this article, a nonparametric estimation of an instrumental regression function f defined by conditional moment restrictions that stem from a structural econometric model E[Y − f (Z) | W] = 0, and involve endogenous variables Y and Z and instruments W.
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Generalization of gmm to a continuum of moment conditions
TL;DR: In this article, the generalized method of moments is used to estimate the norm of the moment conditions in the reproducing kernel Hilbert space associated with the covariance in a continuous time regression model.
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Nonparametric instrumental regression
TL;DR: In this article, a nonparametric estimation of an instrumental regression function f defined by conditional moment restrictions that stem from a structural econometric model E[Y − f (Z) | W] = 0, and involve endogenous variables Y and Z and instruments W.
Book
Elements of Bayesian Statistics
TL;DR: In this paper, the authors focus on the theory of reduction of a Bayesian experiment considered as a unique probability measure on a product space (parameter space x sample space) and comprehensively examine sufficiency, including its applications to identification and comparison of models, as well as ancillarity, with its application to exogeneity.