Estimating the conditional density by histogram type estimators and model selection
Estimating the conditional density by histogram type estimators and model selection
We propose a new estimation procedure of the conditional density for independent and identically distributed data. Our procedure aims at using the data to select a function among arbitrary (at most countable) collections of candidates. By using a deterministic Hellinger distance as loss, we prove that the selected function satisfies …