Abstract
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 through a simulation study by using both the asymptotic p-value and some bootstrap approaches. To demonstrate the potentialities of the method, an application to a spectrometric real dataset is performed.
Lingua originale | Inglese |
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Stato di pubblicazione | Pubblicato - 2022 |
Evento | 15th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2022) - King’s College London, UK Durata: 1 gen 2022 → … |
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???event.eventtypes.event.conference??? | 15th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2022) |
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Città | King’s College London, UK |
Periodo | 1/01/22 → … |