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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Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin FangVolume 6 (2012)
Analysis of proteomics data: Bayesian alignment of functionsWen Cheng, Ian L. Dryden, David B. Hitchcock, and Huiling LeVolume 8, Number 2 (2014)
High-dimensional covariance estimation by minimizing ℓ<sub>1</sub>-penalized log-determinant divergencePradeep Ravikumar, Martin J. Wainwright, Garvesh Raskutti, and Bin YuVolume 5 (2011)
Asymptotic properties of Lasso+mLS and Lasso+Ridge in sparse high-dimensional linear regressionHanzhong Liu and Bin YuVolume 7 (2013)
On the empirical estimation of integral probability metricsBharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, and Gert R. G. LanckrietVolume 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 -- 2014
  • Access: Open access
  • Euclid URL: http://projecteuclid.org/ejs