Some properties of nonparametric predictors under stationarity
- García Soidán, Pilar
- Menezes, Raquel
- Ferreira, C.
Editorial: Comité organizador del XXX Congreso Nacional de Estadística e Investigación Operativa y IV Jornadas de Estadística Pública
ISBN: 978-84-690-7249-3
Ano de publicación: 2007
Congreso: Congreso Nacional de Estadística e Investigación Operativa (30. 2007. Valladolid)
Tipo: Achega congreso
Resumo
In this work, nonparametric predictors will be constructed, based on the kernel method, for stationary random process. Our proposals will be proved to enjoy good properties and even optimal bandwidths will be achieved by asymptotically minimizing the mean-squared prediction errors. Alternatively, cross-validation approaches will be provided for selection of the bandwidth, more easily attainable in practice.