In this paper, we establish the asymptotic normality through a Berry Esseen type bound, of a local linear estimate of the regression in a fixed design setting when the errors are given by strictly stationary field of variables which show spatial interaction. Also, we propose an empirical estimate of the variance of these errors and we prove its weak convergence
In spatial econometrics the problem of stationarity has not received much attention. Typically, the ...
AbstractCorrelated multivariate processes have a dependence structure which must be taken into accou...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
Abstract We investigate the local linear M-estimation for regression in a fixed-design model when th...
In this dissertation, the analysis of spatial data through regression is investigated. Multiple obse...
The goal of this work is to study the asymptotic and finite sample properties of an estimator of a no...
The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametr...
When a linear model is used to analyze spatially correlated data, but the form of the spatial correl...
Nonparametric regression with spatial, or spatio-temporal, data is considered. The conditional mean ...
We investigate the asymptotic behavior of a robust version of local linear regression estimators wit...
This article provides a survey of the specification and estimation of spatial panel data models. The...
Power law or generalized polynomial regressions with unknown real-valued exponents and coefficients,...
© Springer-Verlag 2007We investigate the asymptotic behavior of a robust version of local linear reg...
International audienceThis paper deals with functional linear regression for spatial data. We study ...
The emergence of dense spatial data sets allows us to examine spatial processes on a local level. Th...
In spatial econometrics the problem of stationarity has not received much attention. Typically, the ...
AbstractCorrelated multivariate processes have a dependence structure which must be taken into accou...
Regressions using data with known locations are increasingly used in empirical economics, and severa...
Abstract We investigate the local linear M-estimation for regression in a fixed-design model when th...
In this dissertation, the analysis of spatial data through regression is investigated. Multiple obse...
The goal of this work is to study the asymptotic and finite sample properties of an estimator of a no...
The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametr...
When a linear model is used to analyze spatially correlated data, but the form of the spatial correl...
Nonparametric regression with spatial, or spatio-temporal, data is considered. The conditional mean ...
We investigate the asymptotic behavior of a robust version of local linear regression estimators wit...
This article provides a survey of the specification and estimation of spatial panel data models. The...
Power law or generalized polynomial regressions with unknown real-valued exponents and coefficients,...
© Springer-Verlag 2007We investigate the asymptotic behavior of a robust version of local linear reg...
International audienceThis paper deals with functional linear regression for spatial data. We study ...
The emergence of dense spatial data sets allows us to examine spatial processes on a local level. Th...
In spatial econometrics the problem of stationarity has not received much attention. Typically, the ...
AbstractCorrelated multivariate processes have a dependence structure which must be taken into accou...
Regressions using data with known locations are increasingly used in empirical economics, and severa...