Weak Convergence of Smoothed Empirical Processes: Beyond Donsker Classes

By D. Radulovic, Marten H. Wegkamp. 2000

26 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

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. Bharath K. Sriperumbudur
2. Arthur Gretton
3. Kenji Fukumizu
4. Bernhard Schölkopf
5. Dino Sejdinovic
6. Krikamol Muandet
7. Kacper P. Chwialkowski
8. Nathan Kallus

In Statistics and Probability

1. Bharath K. Sriperumbudur
2. Arthur Gretton
3. Kenji Fukumizu
4. Bernhard Schölkopf
5. Krikamol Muandet
6. Dino Sejdinovic
7. Ilya O. Tolstikhin
8. Kacper P. Chwialkowski

Citations in the corpus

• On the optimal estimation of probability measures in weak and strong topologies (2013, background): “…central limit theorem as stated above has been proved for various P -Donsker classes, F (and also for non-Donsker but pre-Gaussian classes in [27] and [16, Section 4.2]). class For a P -Donsker F , it easy to show that (1) and the corresponding uniform central limit theorem (UCLT) hold if P…”