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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The Bernstein-Von-Mises theorem under misspecificationB.J.K. Kleijn and A.W. van der Vaart Volume 6 (2012)
Test of independence for high-dimensional random vectors based on freeness in block correlation matricesZhigang Bao, Jiang Hu, Guangming Pan, and Wang ZhouVolume 11, Number 1 (2017)
Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin Fang Volume 6 (2012)
The function-on-scalar LASSO with applications to longitudinal GWASRina Foygel Barber, Matthew Reimherr, and Thomas SchillVolume 11, Number 1 (2017)
Nearly assumptionless screening for the mutually-exciting multivariate Hawkes processShizhe Chen, Daniela Witten, and Ali ShojaieVolume 11, Number 1 (2017)
  • 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