Year |
Citation |
Score |
2020 |
Helwig NE. Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers Journal of Computational and Graphical Statistics. 1-22. DOI: 10.1080/10618600.2020.1806855 |
0.31 |
|
2019 |
Helwig NE, Snodgress MA. Exploring individual and group differences in latent brain networks using cross-validated simultaneous component analysis. Neuroimage. 201: 116019. PMID 31319181 DOI: 10.1016/J.Neuroimage.2019.116019 |
0.336 |
|
2016 |
Helwig NE. Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints. Biometrical Journal. Biometrische Zeitschrift. PMID 28025850 DOI: 10.1002/Bimj.201600045 |
0.314 |
|
2016 |
Helwig NE, Shorter KA, Ma P, Hsiao-Wecksler ET. Smoothing spline analysis of variance models: A new tool for the analysis of cyclic biomechanical data. Journal of Biomechanics. PMID 27553848 DOI: 10.1016/J.Jbiomech.2016.07.035 |
0.466 |
|
2016 |
Abram SV, Helwig NE, Moodie CA, DeYoung CG, MacDonald AW, Waller NG. Bootstrap Enhanced Penalized Regression for Variable Selection with Neuroimaging Data. Frontiers in Neuroscience. 10: 344. PMID 27516732 DOI: 10.3389/Fnins.2016.00344 |
0.351 |
|
2016 |
Helwig NE, Ma P. Smoothing spline ANOVA for super-large samples: scalable computation via rounding parameters Statistics and Its Interface. 9: 433-444. DOI: 10.4310/Sii.2016.V9.N4.A3 |
0.392 |
|
2015 |
Helwig NE, Ma P. 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. DOI: 10.1080/10618600.2014.926819 |
0.446 |
|
2015 |
Helwig NE, Gao Y, Wang S, Ma P. Analyzing spatiotemporal trends in social media data via smoothing spline analysis of variance Spatial Statistics. 14: 491-504. DOI: 10.1016/J.Spasta.2015.09.002 |
0.424 |
|
2015 |
Helwig NE. Efficient estimation of variance components in nonparametric mixed-effects models with large samples Statistics and Computing. DOI: 10.1007/S11222-015-9610-5 |
0.352 |
|
2013 |
Helwig NE. The special sign indeterminacy of the direct-fitting Parafac2 model: some implications, cautions, and recommendations for simultaneous component analysis. Psychometrika. 78: 725-39. PMID 24092486 DOI: 10.1007/S11336-013-9331-7 |
0.333 |
|
2013 |
Helwig NE, Hong S, Bokhari E. Analyzing individual and group differences in multijoint multiwaveform gait data using the Parafac2 model. International Journal For Numerical Methods in Biomedical Engineering. 29: 62-82. PMID 23293069 DOI: 10.1002/Cnm.2492 |
0.358 |
|
2013 |
Helwig NE, Hong S. A critique of Tensor Probabilistic Independent Component Analysis: implications and recommendations for multi-subject fMRI data analysis. Journal of Neuroscience Methods. 213: 263-73. PMID 23274733 DOI: 10.1016/J.Jneumeth.2012.12.009 |
0.352 |
|
2012 |
Helwig NE, Hong S, Polk JD. Parallel Factor Analysis of gait waveform data: A multimode extension of Principal Component Analysis. Human Movement Science. 31: 630-48. PMID 21925756 DOI: 10.1016/J.Humov.2011.06.011 |
0.349 |
|
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