Kernel density estimation revisited

Nonlinear Analysis

Volumn 1, Issue 4, 1977, Pages 339-372

  Scott, David W ^a   Tapia, Richard A ^b   Thompson, James R ^b  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

^b RICE UNIVERSITY   (United States)

Author keywords

Bayesian; consistency; efficiency; Fourier kernel; functorial iteration; nonparametric; shifted histogram

Indexed keywords

EID: 49349135608     PISSN: 0362546X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0362-546X(97)90003-1     Document Type: Article

References (17)

1. Remarks on some nonparametric estimates of a density function
2. On estimation of a probability density function and mode
3. On the smoothing of probability density functions
4. Optimal convergence properties of variable knot kernel and orthogonal series methods for density estimation
5. A polynomial algorithm for density estimation
6. On best obtainable asymptotic rates of convergence in estimates of a density function at a point
7. Nonparametric estimates of a multivariate probability density
8. Curve estimates
9. Nonparametric probability density estimation by optimization theoretic techniques
10. Classification by means of B-spline potential functions with applications to remote sensing
11. On the estimation of the probability density I
12. Mean square error properties of density estimates
13. Nonparametric Bayesian estimation of probability densities by function space techniques