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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Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimationT. Tony Cai, Zhao Ren, and Harrison H. ZhouVolume 10, Number 1 (2016)
Tree-based censored regression with applications in insuranceOlivier Lopez, Xavier Milhaud, and Pierre-E. ThérondVolume 10, Number 2 (2016)
Classification with asymmetric label noise: Consistency and maximal denoisingGilles Blanchard, Marek Flaska, Gregory Handy, Sara Pozzi, and Clayton ScottVolume 10, Number 2 (2016)
Discrete temporal models of social networksSteve Hanneke, Wenjie Fu, and Eric P. Xing Volume 4 (2010)
Bounding the expectation of the supremum of an empirical process over a (weak) VC-major classYannick BaraudVolume 10, Number 2 (2016)
  • 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