Results 81 to 90 of about 92 (91)
Variance function estimation in multivariate nonparametric regression with fixed design
Variance function estimation in multivariate nonparametric regression is considered and the minimax rate of convergence is established in the iid Gaussian case. Our work uses the approach that generalizes the one used in [A. Munk, Bissantz, T. Wagner, G.
Wang, Lie, Levine, Michael, Cai, T. Tony
core
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Insensitivity of Nadaraya–Watson estimators to design correlation
Communications in Statistics - Theory and Methods, 2022Igor Borisov, Yuliana Linke
exaly
A survey of cross-validation procedures for model selection
Statistics Surveys, 2010Alain Celisse
exaly
Rates of contraction for posterior distributions in Lr-metrics, 1 ≤ r ≤ ∞
Annals of Statistics, 2011exaly
Semi-parametric additive constrained regression
Journal of Nonparametric Statistics, 2013Mary C Meyer
exaly

