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)
Hypothesis testing by convex optimizationAlexander Goldenshluger, Anatoli Juditsky, and Arkadi NemirovskiVolume 9, Number 2 (2015)
Unequal edge inclusion probabilities in link-tracing network sampling with implications for Respondent-Driven SamplingMiles Q. Ott and Krista J. GileVolume 10, Number 1 (2016)
Estimation of high-dimensional graphical models using regularized score matchingLina Lin, Mathias Drton, and Ali ShojaieVolume 10, Number 1 (2016)
On the conditions used to prove oracle results for the LassoSara A. van de Geer and Peter Bühlmann Volume 3 (2009)
  • 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