The problem of specifying the link function that models the dependence structure between two random elements is a very important task in regression analysis. In the framework of scalar on function regression, the link function is described through a real valued operator acting on a functional space and it is difficult to visualize and hence select a coherent specification. A test for specification in such a framework that exploits semi-parametric principles is illustrated, in particular by exploiting the Single Functional Index Model. The test statistic is a special form of U-statistic and once it is defined, its asymptotic null distribution is derived under suitable conditions. The finite sample performances of the test are analyzed throu...
The functional linear regression model is a regression model where the link between the response (a...
This paper establishes two simple and new specification tests based on the use of an orthogonal seri...
Discrete choice models are frequently used in statistical and econometric practice. Standard models ...
In many real world studies, the aim is to predict a real value of interest from the observation of a...
Given a functional regression model with scalar response, the aim is to present a methodology in ord...
We suggest a new method, with very wide applicability, for testing semiparametric hypotheses about f...
Motivated by a problem that commonly arise in the food industry, a methodology based on the Single F...
We examine a consistent test for the correct specification of a regression function with dependent d...
In this note we consider several goodness-of-fit tests for model specification in non-parametric reg...
We consider the problem of performing an association test between functional data and scalar variabl...
[[abstract]]We concern ourselves with the methods for testing the overall goodness of fit of a param...
A general model specification test of a parametric model against a nonparametric or semiparametric a...
Abstract: The single-index model with an unknown link function is a generalized lin-ear model that h...
The paper introduces a general framework for testing hypotheses about the struc-ture of the mean fun...
This paper develops a specification test for functional form for models identified by moment restric...
The functional linear regression model is a regression model where the link between the response (a...
This paper establishes two simple and new specification tests based on the use of an orthogonal seri...
Discrete choice models are frequently used in statistical and econometric practice. Standard models ...
In many real world studies, the aim is to predict a real value of interest from the observation of a...
Given a functional regression model with scalar response, the aim is to present a methodology in ord...
We suggest a new method, with very wide applicability, for testing semiparametric hypotheses about f...
Motivated by a problem that commonly arise in the food industry, a methodology based on the Single F...
We examine a consistent test for the correct specification of a regression function with dependent d...
In this note we consider several goodness-of-fit tests for model specification in non-parametric reg...
We consider the problem of performing an association test between functional data and scalar variabl...
[[abstract]]We concern ourselves with the methods for testing the overall goodness of fit of a param...
A general model specification test of a parametric model against a nonparametric or semiparametric a...
Abstract: The single-index model with an unknown link function is a generalized lin-ear model that h...
The paper introduces a general framework for testing hypotheses about the struc-ture of the mean fun...
This paper develops a specification test for functional form for models identified by moment restric...
The functional linear regression model is a regression model where the link between the response (a...
This paper establishes two simple and new specification tests based on the use of an orthogonal seri...
Discrete choice models are frequently used in statistical and econometric practice. Standard models ...