Optimal asymmetric kernels
By K. Abadir, S. Lawford. 2004
48 citations recorded by the source corpus.
Subfields: Applied Mathematics, Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3a78b5dd57bd432e77dab7430ac62fbd58eaa76d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
In Artificial Intelligence
- Taoufik Bouezmarni
- Carolina Marchant
- Flávio Augusto Ziegelmann
- Helton Saulo
- Víctor Leiva
- Olivier Scaillet
- Gery Geenens
- Janusz Kawczak
In Statistics and Probability
- Carolina Marchant
- Taoufik Bouezmarni
- Olivier Scaillet
- Helton Saulo
- Flávio Augusto Ziegelmann
- Víctor Leiva
- Gery Geenens
- Narayanaswamy Balakrishnan
Citations in the corpus
- Local Multiplicative Bias Correction for Asymmetric Kernel Density Estimators (2007, unknown): “+ Ã v (1) 0 (x) v0 (x) f0 (x) + f (1) 0 (x) ! x{r((1)) 0 (x)− r((1))(x, θ2)}b”
- CONSISTENCY OF ASYMMETRIC KERNEL DENSITY ESTIMATORS AND SMOOTHED HISTOGRAMS WITH APPLICATION TO INCOME DATA (2005, background): “Note that these asymmetric kernels do not take the form (x t;b) where is an asymmetric function (instead of a symmetric one), and thus do not belong to the class studied by Abadir and Lawford (2003) .”
- A nonparametric method for estimating asymmetric densities based on skewed Birnbaum–Saunders distributions applied to environmental data (2013, background): “Abadir and Lawford (2004) provided a justification for the use of asymmetric kernels arguing that density estimators in moderately-sized samples tend to acquire salient properties of their kernels. Several other methods have been suggested to address the boundary problem in kernel density estimation”