Electronic Journal of Statistics

The Electronic Journal of Statistics (EJS) publishes research articles and short notes in theoretical, computational and applied statistics. The journal is open access. Articles are refereed and are held to the same standard as articles in other IMS journals. Articles become publicly available shortly after they are accepted.

Electronic Journal of Statistics is sponsored by the Institute of Mathematical Statistics and by the Bernoulli Society.

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High dimension low sample size asymptotics of robust PCAYi-Hui Zhou and J. S. Marron Volume 9 ( 2015 )
Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin Fang Volume 6 ( 2012 )
High-dimensional covariance estimation by minimizing ℓ<sub>1</sub>-penalized log-determinant divergencePradeep Ravikumar, Martin J. Wainwright, Garvesh Raskutti, and Bin Yu Volume 5 ( 2011 )
On clustering procedures and nonparametric mixture estimationStéphane Auray, Nicolas Klutchnikoff, and Laurent Rouvière Volume 9 ( 2015 )
Gaussian copula marginal regressionGuido Masarotto and Cristiano Varin Volume 6 ( 2012 )
  • ISSN: 1935-7524 ( electronic )
  • Publisher: The Institute of Mathematical Statistics and the Bernoulli Society
  • Discipline(s): Statistics and Probability
  • Full text available in Euclid: 2007 --
  • Access: Open access
  • Euclid URL: http://projecteuclid.org/ ejs