The jackknife-like method for assessing uncertainty of point estimates for bayesian estimation in a finite gaussian mixture model
© 2018 by the Mathematical Association of Thailand. All rights reserved. In this paper, we follow the idea of using an invariant loss function in a decision theoretic approach for point estimation in Bayesian mixture models presented in [1]. Although using this approach the so-called label switching...
Saved in:
主要作者: | Kuntalee Chaisee |
---|---|
格式: | 雜誌 |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85044994797&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58824 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
An exposition on the viability of the jackknife statistics in the estimation of the truncation point of continuous distributions
由: Santos, Ma. Vanessa F., et al.
出版: (1989) -
The Jackknife: A cost-efficient alternative to bootstrap variance estimation
由: Obligacion, Glenn Michael P.
出版: (2008) -
An exploratory investigation on the application of the bootstrapping technique to the jackknife estimates of the truncation point of continuous distributions
由: Fajarito, Jovilyn T., et al.
出版: (1992) -
Discussion on "Bayesian estimation of mixture models"
由: Albert, Jose Ramon G.
出版: (2007) -
Estimating mixture models in consumer segmentation
由: Muhammad Hafiz Mohd Aziz
出版: (2022)