Nathaniel E. Helwig, Ph.D.
Affiliations: | 2013 | Psychology | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Psychometrics Psychology, Statistics, Computer ScienceGoogle:
"Nathaniel Helwig"Parents
Sign in to add mentor
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Helwig NE. (2020) Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers Journal of Computational and Graphical Statistics. 1-22 |
Helwig NE, Snodgress MA. (2019) Exploring individual and group differences in latent brain networks using cross-validated simultaneous component analysis. Neuroimage. 201: 116019 |
Helwig NE. (2016) Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints. Biometrical Journal. Biometrische Zeitschrift |
Helwig NE, Shorter KA, Ma P, et al. (2016) Smoothing spline analysis of variance models: A new tool for the analysis of cyclic biomechanical data. Journal of Biomechanics |
Abram SV, Helwig NE, Moodie CA, et al. (2016) Bootstrap Enhanced Penalized Regression for Variable Selection with Neuroimaging Data. Frontiers in Neuroscience. 10: 344 |
Helwig NE, Ma P. (2016) Smoothing spline ANOVA for super-large samples: scalable computation via rounding parameters Statistics and Its Interface. 9: 433-444 |
Helwig NE, Ma P. (2015) Fast and Stable Multiple Smoothing Parameter Selection in Smoothing Spline Analysis of Variance Models With Large Samples Journal of Computational and Graphical Statistics. 24: 715-732 |
Helwig NE, Gao Y, Wang S, et al. (2015) Analyzing spatiotemporal trends in social media data via smoothing spline analysis of variance Spatial Statistics. 14: 491-504 |
Helwig NE. (2015) Efficient estimation of variance components in nonparametric mixed-effects models with large samples Statistics and Computing |
Helwig NE. (2013) The special sign indeterminacy of the direct-fitting Parafac2 model: some implications, cautions, and recommendations for simultaneous component analysis. Psychometrika. 78: 725-39 |