A consistent estimation is given for a general regression function over an abstract space adopting a sieve type least squares method where the dimension of subspaces is a random quantity.
LS consistent estimates for arbitrary regression functions over an abstract space
FIORIN, SILVANO;
2010
Abstract
A consistent estimation is given for a general regression function over an abstract space adopting a sieve type least squares method where the dimension of subspaces is a random quantity.File in questo prodotto:
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