Asymptotic properties of the EM algorithm estimate for normal mixture models with component specific variances
Most of the researchers in the application areas usually use the EM algorithm to find estimators of the normal mixture distribution with unknown component specific variances without knowing much about the properties of the estimators. It is unclear for which situations the EM algorithm providesgoode...
Saved in:
Main Authors: | Dechavudh Nityasuddhi, Dankmar Böhning |
---|---|
Other Authors: | Mahidol University |
Format: | Article |
Published: |
2018
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/20834 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
Efficient non-iterative and nonparametric estimation of heterogeneity variance for the standardized mortality ratio
by: Dankmar Böhning, et al.
Published: (2018) -
A comparison of non-iterative and iterative estimators of heterogeneity variance for the standardized mortality ratio
by: Dankmar Böhning, et al.
Published: (2018) -
Revisiting proportion estimators
by: Dankmar Böhning, et al.
Published: (2018) -
Estimating local optimums in EM algorithm over Gaussian mixture model
by: Zhang, Z., et al.
Published: (2013) -
Estimating local optimums in EM algorithm over Gaussian mixture model
by: ZHANG, Zhenjie, et al.
Published: (2008)