Kernel density estimation with adaptive varying window size

Pattern Recognition Letters

Volumn 23, Issue 14, 2002, Pages 1641-1648

  Katkovnik, Vladimir ^a   Shmulevich, Ilya ^b  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

^b UNIVERSITY OF TEXAS   (United States)

Author keywords

Density estimation; ICI rule; Kernel; Non parametric; Parzen

Indexed keywords

COMPUTER SIMULATION; ESTIMATION; NUMERICAL ANALYSIS;

KERNEL DENSITY;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0036885193     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00127-7     Document Type: Article

References (21)

1. On bandwidth variation in kernel estimates - A square root law
2. Variable kernel estimates of multivariate densities
3. Estimation of a multivariate density
4. An automatic bandwidth selector for kernel density estimation
5. On spatial adaptive estimation of nonparametric regression
6. On optimal data-based bandwidth selection in kernel density estimation
7. A new method for varying adaptive bandwidth selection
8. Kernel density estimation with varying data-driven bandwidth
9. A nonparametric estimate of a multivariate density function
10. On the estimation of a probability density function and the mode
11. On the effectiveness of Parzen window classifier
12. On locally adaptive density estimation
13. A reliable data-based bandwidth selection method for kernel density estimation
14. Choosing the window width when estimating a density
15. Algorithms for color image edge enhancement using potential functions
16. Bootstrap choice of the smoothing parameter in kernel density estimation
17. Variable kernel density estimation
18. Nonparametric density estimation and discrimination from images of shapes
19. Nonparametric density estimation and detection in impulsive interference channels