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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Neutral noninformative and informative conjugate beta and gamma prior distributionsJouni Kerman Volume 5 (2011)
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)
Intensity estimation of non-homogeneous Poisson processes from shifted trajectoriesJérémie Bigot, Sébastien Gadat, Thierry Klein, and Clément Marteau Volume 7 (2013)
Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin Fang Volume 6 (2012)
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)
  • 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

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The Institute of Mathematical Statistics and the Bernoulli Society

Electronic Journal of Statistics

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