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pro vyhledávání: '"Adriano Z. Zambom"'
Autor:
Adriano Z. Zambom, Ronaldo Dias
Publikováno v:
International Econometric Review, Vol 5, Iss 1, Pp 20-42 (2013)
Nonparametric density estimation is of great importance when econometricians want to model the probabilistic or stochastic structure of a data set. This comprehensive review summarizes the most important theoretical aspects of kernel density estima
Externí odkaz:
https://doaj.org/article/42b0896f07c24fe9a4a664865d67512a
Autor:
Adriano Z. Zambom, Preethi Ravikumar
One of the biggest challenges in nonparametric regression is the curse of dimensionality. Additive models are known to overcome this problem by estimating only the individual additive effects of each covariate. However, if the model is misspecified,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc3d9aa953bebf3d257851451748e36
