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.

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

EJS is an open access journal. Voluntary fees or donations to the Open Access Fund are accepted. Copyright for all articles in EJS is CC BY 4.0.

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Maximum likelihood estimation in the logistic regression model with a cure fractionAba Diop, Aliou Diop, and Jean-François Dupuy Volume 5 (2011)
Neutral noninformative and informative conjugate beta and gamma prior distributionsJouni Kerman Volume 5 (2011)
On efficiency of the plug-in principle for estimating smooth integrated functionals of a nonincreasing densityRajarshi Mukherjee and Bodhisattva SenVolume 13, Number 2 (2019)
Inference under Fine-Gray competing risks model with high-dimensional covariatesJue Hou, Jelena Bradic, and Ronghui XuVolume 13, Number 2 (2019)
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)
  • 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: https://projecteuclid.org/ejs