A New Algorithm to Determine Covariance in Statistical Maximum for Gaussian Mixture Model
Author:
Affiliation:
1. Chuo University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E100.A/12/E100.A_2834/_pdf
Reference9 articles.
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2. [2] S. Takahashi and S. Tsukiyama, “A new statistical timing analysis using Gaussian mixture models for delay and slew propagated together,” IEICE Trans. Fundamentals, vol.E92-A, no.3, pp.900-911, March 2009. 10.1587/transfun.e92.a.900
3. [3] D. Sasaki, S. Tsukiyama, M. Matsunaga, O. Ishibashi, and S. Takahashi, “A statistical method for analyzing lifetime of a battery pack,” 2015 IEEE Power & Energy Society General Meeting, paper no.PESGM2015-001311, 2015. 10.1109/PESGM.2015.7286118
4. [4] R.B. Arellano-Valle and M.G. Genton, “On the exact distribution of linear combinations of order statistics from dependent random variables,” J. Multivariate Analysis, vol.98, no.10, pp.1876-1894, 2007. 10.1016/j.jmva.2006.12.003
5. [5] N. Yokoyama, D. Azuma, S. Tsukiyama, and M. Fukui, “A new algorithm for reducing components of a Gaussian mixture model,” IEICE Trans. Fundamentals, vol.E99-A, no.12, pp.2425-2434, Dec. 2016. 10.1587/transfun.e99.a.2425
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