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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Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approachL. Montuelle and E. Le PennecVolume 8, Number 1 (2014)
Dynamic treatment regimes: Technical challenges and applicationsEric B. Laber, Daniel J. Lizotte, Min Qian, William E. Pelham, and Susan A. MurphyVolume 8, Number 1 (2014)
Regularized k-means clustering of high-dimensional data and its asymptotic consistencyWei Sun, Junhui Wang, and Yixin FangVolume 6 (2012)
Bayesian estimation in a high dimensional parameter frameworkDenis Bosq and María D. Ruiz-MedinaVolume 8, Number 1 (2014)
Spectral correction for locally stationary Shannon wavelet processesIdris A. Eckley and Guy P. NasonVolume 8, Number 1 (2014)
  • 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