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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Graphical model selection with latent variablesChangjing Wu, Hongyu Zhao, Huaying Fang, and Minghua DengVolume 11, Number 2 (2017)
Neutral noninformative and informative conjugate beta and gamma prior distributionsJouni Kerman Volume 5 (2011)
Intensity estimation of non-homogeneous Poisson processes from shifted trajectoriesJérémie Bigot, Sébastien Gadat, Thierry Klein, and Clément Marteau Volume 7 (2013)
Asymptotic properties of quasi-maximum likelihood estimators in observation-driven time series modelsRandal Douc, Konstantinos Fokianos, and Eric MoulinesVolume 11, Number 2 (2017)
Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimationT. Tony Cai, Zhao Ren, and Harrison H. ZhouVolume 10, Number 1 (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: 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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