Statistical Embedding: Beyond Principal Components-Reference-Cited by-同舟云学术

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Statistical Embedding: Beyond Principal Components

Published:2023-08-01 Issue:3 Volume:38 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Tjøstheim Dag¹,Jullum Martin²,Løland Anders³

Affiliation:

1. Dag Tjøstheim is Professor Emeritus at the Department of Mathematics, University of Bergen, Bergen, Norway and Professor II at the Norwegian Computing Center, Oslo, Norway

2. Martin Jullum is Senior Research Scientist at the Norwegian Computing Center, Oslo, Norway

3. Anders Løland is Research Director at the Norwegian Computing Center, Oslo, Norway

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference125 articles.

1. Hotelling, H. (1936). Relations between two sets of variates. Biometrika 28 321–377.

2. Bickel, P. J. and Sarkar, P. (2016). Hypothesis testing for automated community detection in networks. J. R. Stat. Soc. Ser. B. Stat. Methodol. 78 253–273.

3. Josse, J. and Husson, F. (2012). Selecting the number of components in principal component analysis using cross-validation approximations. Comput. Statist. Data Anal. 56 1869–1879.

4. Girvan, M. and Newman, M. E. J. (2002). Community structure in social and biological networks. Proc. Natl. Acad. Sci. USA 99 7821–7826.

5. Wang, Y. X. R. and Bickel, P. J. (2017). Likelihood-based model selection for stochastic block models. Ann. Statist. 45 500–528.

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