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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Nonparametric link prediction in large scale dynamic networksPurnamrita Sarkar, Deepayan Chakrabarti, and Michael JordanVolume 8, Number 2 (2014)
Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin FangVolume 6 (2012)
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vectorRyan Martin and Stephen G. WalkerVolume 8, Number 2 (2014)
Discrete temporal models of social networksSteve Hanneke, Wenjie Fu, and Eric P. XingVolume 4 (2010)
Statistics of time warpings and phase variationsJ. S. Marron, James O. Ramsay, Laura M. Sangalli, and Anuj SrivastavaVolume 8, Number 2 (2014)
  • 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