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.

Top downloads over the last seven days

Neutral noninformative and informative conjugate beta and gamma prior distributionsJouni Kerman Volume 5 (2011)
Model-based clustering with envelopesWenjing Wang, Xin Zhang, and Qing MaiVolume 14, Number 1 (2020)
Maximum likelihood estimation in the logistic regression model with a cure fractionAba Diop, Aliou Diop, and Jean-François Dupuy Volume 5 (2011)
Reduction problems and deformation approaches to nonstationary covariance functions over spheresEmilio Porcu, Rachid Senoussi, Enner Mendoza, and Moreno BevilacquaVolume 14, Number 1 (2020)
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