Efficient estimation of variance components in nonparametric mixed-effects models with large samples. - Nathaniel E. Helwig (Stat. Comput., 2016)

Regression with Ordered Predictors via Ordinal Smoothing Splines. - Nathaniel E. Helwig (Frontiers Appl. Math. Stat., 2017)

Robust nonparametric tests of general linear model coefficients: A comparison of permutation methods and test statistics. - Nathaniel E. Helwig (NeuroImage, 2019)

Exploring individual and group differences in latent brain networks using cross-validated simultaneous component analysis. - Nathaniel E. Helwig; Matthew Snodgress (NeuroImage, 2019)

Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers. - Nathaniel E. Helwig (J. Comput. Graph. Stat., 2021)

Twitter Geospatial Data. - Nathaniel E. Helwig; Yizhao Gao 001; Shaowen Wang 001; Ping Ma (UCI-MLR, 2024)

Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models. - Nathaniel E. Helwig (J. Comput. Graph. Stat., 2025)