Estimating mixture of Gaussian processes by kernel smoothing
| Year of publication: |
2014
|
|---|---|
| Authors: | Huang, Mian ; Li, Runze ; Wang, Hansheng ; Yao, Weixin |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 32.2014, 2, p. 259-270
|
| Subject: | EM algorithm | Functional principal component analysis | Identifiability | Algorithmus | Algorithm | Schätztheorie | Estimation theory | Hauptkomponentenanalyse | Principal component analysis | Nichtparametrisches Verfahren | Nonparametric statistics |
-
A nonparametric maximum likelihood estimation for biased-sampling data with zero-inflated truncation
Zhang, Feipeng, (2020)
-
Estimation of characteristics-based quantile factor models
Chen, Liang, (2023)
-
Semiparametric model averaging of ultra-high dimensional time series
Chen, Jia, (2015)
- More ...
-
Estimating Mixture of Gaussian Processes by Kernel Smoothing
Huang, Mian, (2013)
-
Estimating Mixture of Gaussian Processes by Kernel Smoothing
Huang, Mian, (2014)
-
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Huang, Danyang, (2014)
- More ...