IMAL 13325
INSTITUTO DE MATEMATICA APLICADA DEL LITORAL "DRA. ELEONOR HARBOURE"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Discretized nonparametric regression
Autor/es:
FORZANI, LILIANA; FRAIMAN, RICARDO; LLOP, PAMELA
Lugar:
Buenos Aires
Reunión:
Congreso; VI Escuela de Invierno Luis A. Santaló; 2014
Institución organizadora:
UBA
Resumen:
In this WORK, we provide some conditions under which the discretized (or smooth based) versions of these two classical families of nonparametric regression estimators converge, in mean square error, to the true underling
regression function. Also, we give conditions on the grid size
discretization in order to achieve the same rates of convergence
that when dealing with the unobservable infinite dimensional data.
