Nonparametric regression estimation for functional stationary ergodic data with missing at random

By Nengxiang Ling, L. Liang, Philippe Vieu. 2015

63 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1cf221704f81c5e4da65032bf5cb9d300d3a46a2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Nengxiang Ling
2. Philippe Vieu
3. Heng Lian

In Management Science and Operations Research

1. Philippe Vieu
2. Nengxiang Ling

In Statistics and Probability

1. Nengxiang Ling
2. Philippe Vieu
3. Heng Lian
4. Peter Hall
5. Frédéric Ferraty
6. M. Febrero–Bande
7. H. Muller
8. Antonio Cuevas

Citations in the corpus

• Nonparametric modelling for functional data: selected survey and tracks for future (2018, background): “Similarly, a kernel estimate adapted to missing at random (MAR) data is constructed in [53] and rates of convergence and asymptotic normality are stated.”