Probability density estimation using data projection
Nonparametric estimation of multivariate multimodal probability density is analysed. The projection pursuit density estimator was proposed by J.H. Friedman. Author of this paper proposes the modifications of original Friedman algorithm: employing a kernel density estimator, and a projection index ba...
Main Author: | Mindaugas Kavaliauskas |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2009-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/17983 |
Similar Items
-
Nonparametric Estimation of Continuously Parametrized Families of Probability Density Functions—Computational Aspects
by: Wojciech Rafajłowicz
Published: (2020-07-01) -
Nonparametric density estimation using a multidimensional mixture model of Gaussian distributions
by: Tomas Ruzgas, et al.
Published: (2005-12-01) -
Quasar Identification Using Multivariate Probability Density Estimated from Nonparametric Conditional Probabilities
by: Jenny Farmer, et al.
Published: (2022-12-01) -
A Projection Pursuit Based Risk Assessment Method in Mobile Ad hoc Networks
by: Fu Cai, et al.
Published: (2011-10-01) -
MATLAB tool for probability density assessment and nonparametric estimation
by: Jenny Farmer, et al.
Published: (2022-06-01)