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

Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin Fang Volume 6 (2012)
Sparsity information and regularization in the horseshoe and other shrinkage priorsJuho Piironen and Aki VehtariVolume 11, Number 2 (2017)
Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibrationMeelis Kull, Telmo M. Silva Filho, and Peter FlachVolume 11, Number 2 (2017)
Measuring distributional asymmetry with Wasserstein distance and Rademacher symmetrizationAdam B. KashlakVolume 12, Number 2 (2018)
Sparse permutation invariant covariance estimationAdam J. Rothman, Peter J. Bickel, Elizaveta Levina, and Ji Zhu Volume 2 (2008)
  • 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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