Probabilistic PCA for Heteroscedastic Data

2019 ◽  
Author(s):  
David Hong ◽  
Laura Balzano ◽  
Jeffrey A. Fessler
Keyword(s):  
Probabilistic Pca ◽  
Heteroscedastic Data

Univariate calibration by reversed regression of heteroscedastic data: a case study

The Analyst ◽  
2008 ◽  
Vol 133 (12) ◽  
pp. 1649 ◽  
Author(s):  
Qiaoling Charlene Zeng ◽  
Elizabeth Zhang ◽  
Joel Tellinghuisen
Keyword(s):  
Heteroscedastic Data

Automatic Model Selection for Probabilistic PCA

2007 ◽  
pp. 127-134
Author(s):  
Ezequiel López-Rubio ◽  
Juan Miguel Ortiz-de-Lazcano-Lobato ◽  
Domingo López-Rodríguez ◽  
María del Carmen Vargas-González
Keyword(s):  
Model Selection ◽  
Probabilistic Pca ◽  
Automatic Model Selection ◽  
Selection For

scholarly journals Asymptotic performance of PCA for high-dimensional heteroscedastic data

2018 ◽  
Vol 167 ◽  
pp. 435-452 ◽  
Author(s):  
David Hong ◽  
Laura Balzano ◽  
Jeffrey A. Fessler
Keyword(s):  
High Dimensional ◽  
Asymptotic Performance ◽  
Heteroscedastic Data

Fuzzy Clustering and Probabilistic PCA Model

2008 ◽  
pp. 157-169
Author(s):  
Sadaaki Miyamoto ◽  
Hidetomo Ichihashi ◽  
Katsuhiro Honda
Keyword(s):  
Fuzzy Clustering ◽  
Probabilistic Pca

scholarly journals Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA

2013 ◽  
Vol 7 (3) ◽  
pp. 281-300 ◽  
Author(s):  
Anastasios Bellas ◽  
Charles Bouveyron ◽  
Marie Cottrell ◽  
Jérôme Lacaille
Keyword(s):  
Data Streams ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Model Based Clustering ◽  
Probabilistic Pca ◽  
Model Based
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