The Electronic Journal of Statistics (EJS) publishes research articles and short notes in theoretical, computational and applied statistics.
A functional nonlinear mixed effects modeling framework for longitudinal functional responses
Linglong Kong, et al. (2024)
Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration
Meelis Kull, et al. (2017)
High-dimensional functional graphical model structure learning via neighborhood selection approach
Boxin Zhao, et al. (2024)
