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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Thresholding least-squares inference in high-dimensional regression modelsMihai GiurcanuVolume 10, Number 2 (2016)
Innovation, growth and aggregate volatility from a Bayesian nonparametric perspectiveAntonio Lijoi, Pietro Muliere, Igor Prünster, and Filippo TaddeiVolume 10, Number 2 (2016)
Bootstrap confidence intervals in functional nonparametric regression under dependencePaula Raña, Germán Aneiros, Juan Vilar, and Philippe VieuVolume 10, Number 2 (2016)
An $\{\ell_{1},\ell_{2},\ell_{\infty}\}$-regularization approach to high-dimensional errors-in-variables modelsAlexandre Belloni, Mathieu Rosenbaum, and Alexandre B. TsybakovVolume 10, Number 2 (2016)
Bounding the expectation of the supremum of an empirical process over a (weak) VC-major classYannick BaraudVolume 10, Number 2 (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: http://projecteuclid.org/ejs