Some improvements on a boundary corrected kernel density estimator

By Rohana J. Karunamuni, Shunpu Zhang. 2008

63 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a22f2923e92b3dc8319b85f90ebf4da0544b8454

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. D. Santhosh
2. V. V. Srinivas
3. Tristan Senga Kiessé
4. Célestin C. Kokonendji

In Environmental Engineering

1. D. Santhosh
2. V. V. Srinivas

In Statistics and Probability

1. Tristan Senga Kiessé
2. Célestin C. Kokonendji
3. D. Santhosh
4. V. V. Srinivas

Citations in the corpus

• Bivariate frequency analysis of floods using a diffusion based kernel density estimator (2013, methodology): “Although conventionally used kdes’ offer various advantages they suffer from a few issues [e.g., Silverman, 1986; M€uller, 1991; Karunamuni and Zhang, 2008], which are discussed in the following section.”
• Discrete associated kernels method and extensions (2011, background): “Chen [5,6], Zhang and Karunamuni [34]).”