Root n consistent density estimators for sums of independent random variables

By Anton Schick *, Wolfgang Wefelmeyer. 2004

53 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3d8f85ff3dafac4e16b9a3080757d4e9bae60f93

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. I. Castillo
2. Richard Nickl
3. Kolyan Ray
4. Judith Rousseau
5. A. van der Vaart
6. Botond Szab'o
7. Subhashis Ghosal
8. Stéphanie van der Pas

In Management Science and Operations Research

1. I. Castillo
2. Richard Nickl
3. Evarist Gin'e

In Statistics and Probability

1. I. Castillo
2. Richard Nickl
3. Kolyan Ray
4. Judith Rousseau
5. Evarist Gin'e
6. A. van der Vaart
7. Subhashis Ghosal
8. Botond Szab'o

Citations in the corpus

• Nonparametric Bernstein–von Mises theorems in Gaussian white noise (2012, background): “The related problem in density estimation was studied in the papers [15, 20, 30, 31, 33], where it is shown that f ∗ f can be estimated at the 1/√n-rate even when this is impossible for f .”
• On local U-statistic processes and the estimation of densities of functions of several sample variables (2007, unknown): “22 27 v1 [ m at h. ST ] 1 6 A ug 2 00 7 The Annals of Statistics 2007, Vol. 35, No. 3, 1105–1145 DOI: 10.1214/009053607000000154 c© Institute of Mathematical Statistics, 2007”
• Donsker-type theorems for nonparametric maximum likelihood estimators (2007, result): “Similar results have recently been obtained by [13,30] for kernel density estimators.”