Consistency of the kernel density estimator: a survey
By Dominik Wied, Rafael Weißbach. 2012
104 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a0184a212d95b35ab6c58900707046eefb3e2b9d
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
- Oliver Kroemer
- Jan Peters
- Sergey Levine
- Pieter Abbeel
- Gerhard Neumann
- Chelsea Finn
- Bernhard Schölkopf
- Marc Peter Deisenroth
In Statistics and Probability
- Jan Peters
- Oliver Kroemer
- Bernhard Schölkopf
- Peter Buhlmann
- Dominik Janzing
- David Lopez-Paz
- Joris M. Mooij
- Niklas Pfister
Citations in the corpus
- A Non-Parametric Approach to Dynamic Programming (2011, background): “In fact, kernel density estimation can be proven to have almost sure convergence to the true distribution for a wide range of kernels [22].”