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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New FDR bounds for discrete and heterogeneous testsSebastian Döhler, Guillermo Durand, and Etienne RoquainVolume 12, Number 1 (2018)
Sparsity information and regularization in the horseshoe and other shrinkage priorsJuho Piironen and Aki VehtariVolume 11, Number 2 (2017)
Community detection by $L_{0}$-penalized graph LaplacianChong Chen, Ruibin Xi, and Nan LinVolume 12, Number 1 (2018)
Change detection via affine and quadratic detectorsYang Cao, Arkadi Nemirovski, Yao Xie, Vincent Guigues, and Anatoli JuditskyVolume 12, Number 1 (2018)
Dimension reduction and estimation in the secondary analysis of case-control studiesLiang Liang, Raymond Carroll, and Yanyuan MaVolume 12, Number 1 (2018)
  • 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