We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals. The routines are primarily intended to be used in the estimation of semiparametric models. Therefore, the outputs are vectors containing the estimates evaluated at each data point. The routines permit the estimation of conditional expectations, robust conditional location functionals, conditional quantiles and densities. The user may also obtain estimates of other functionals, applied in semiparametric estimation, by defining the input functions appropriately. We also review a number of semiparametric models and discuss their estimation using our routines with the help of standard econometric software
International audienceWe consider the problem of predicting a real random variable from a functional...
Non-and semi-parametric models have flourished during the last twenty five years. They have been app...
We obtain semiparametric efficiency bounds for estimation of a location parameter in a time series m...
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals....
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals....
The purpose of this note is to provide a brief account of available FORTRAN Routines for computing n...
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 1993.Includes bibliograp...
International audienceWe study regression estimation when the explanatory variable is functional. No...
We are concerned with the asymptotic theory of semiparametric estimation equations. We are dealing w...
This paper develops methods of inference for nonparametric and semiparametric pa-rameters defined by...
We consider functional measurement error models where the measurement error distribution is estimate...
Notre travail a pour objet l' étude statistique de paramètres fonctionnels définis comme solutions d...
The inferences for semiparametric models with functional data are investigated. We propose an integr...
We suggest a new method, with very wide applicability, for testing semiparametric hypotheses about f...
International audienceWe consider the problem of predicting a real random variable from a functional...
Non-and semi-parametric models have flourished during the last twenty five years. They have been app...
We obtain semiparametric efficiency bounds for estimation of a location parameter in a time series m...
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals....
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals....
The purpose of this note is to provide a brief account of available FORTRAN Routines for computing n...
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 1993.Includes bibliograp...
International audienceWe study regression estimation when the explanatory variable is functional. No...
We are concerned with the asymptotic theory of semiparametric estimation equations. We are dealing w...
This paper develops methods of inference for nonparametric and semiparametric pa-rameters defined by...
We consider functional measurement error models where the measurement error distribution is estimate...
Notre travail a pour objet l' étude statistique de paramètres fonctionnels définis comme solutions d...
The inferences for semiparametric models with functional data are investigated. We propose an integr...
We suggest a new method, with very wide applicability, for testing semiparametric hypotheses about f...
International audienceWe consider the problem of predicting a real random variable from a functional...
Non-and semi-parametric models have flourished during the last twenty five years. They have been app...
We obtain semiparametric efficiency bounds for estimation of a location parameter in a time series m...