The Electronic Journal of Statistics (EJS) publishes research articles and short notes in theoretical, computational and applied statistics.
Finite-sample analysis of $M$-estimators using self-concordance
Dmitrii M. Ostrovskii, et al. (2021)
Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration
Meelis Kull, et al. (2017)
Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation
T. Tony Cai, et al. (2016)
Robust regression through the Huber’s criterion and adaptive lasso penalty
Sophie Lambert-Lacroix, et al. (2011)