Parents
Sign in to add mentor| R. Todd Ogden | grad student | 2006 | Columbia | |
| (Regression with signals and images as predictors.) | ||||
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Publications
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| Xu M, Reiss PT, Cribben I. (2020) Generalized reliability based on distances. Biometrics |
| Reiss PT, Xu M. (2020) Tensor product splines and functional principal components Journal of Statistical Planning and Inference. 208: 1-12 |
| Vandekar SN, Reiss PT, Shinohara RT. (2018) Interpretable High-Dimensional Inference Via Score Projection with an Application in Neuroimaging. Journal of the American Statistical Association. 114: 820-830 |
| Reiss PT. (2018) Cross-sectional versus longitudinal designs for function estimation, with an application to cerebral cortex development. Statistics in Medicine |
| Reiss PT, Miller DL, Wu PS, et al. (2017) Penalized nonparametric scalar-on-function regression via principal coordinates. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 26: 569-578 |
| Reiss PT, Goldsmith J, Shang HL, et al. (2017) Methods for scalar-on-function regression. International Statistical Review = Revue Internationale De Statistique. 85: 228-249 |
| Reiss PT, Huang L, Wu PS, et al. (2017) Pointwise influence matrices for functional-response regression. Biometrics |
| Huang L, Reiss PT, Xiao L, et al. (2016) Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data. Biostatistics (Oxford, England) |
| Yoncheva YN, Somandepalli K, Reiss PT, et al. (2016) Mode of Anisotropy Reveals Global Diffusion Alterations in Attention-Deficit/Hyperactivity Disorder. Journal of the American Academy of Child and Adolescent Psychiatry. 55: 137-45 |
| Reiss PT, Goldsmith J, Shang HL, et al. (2016) Methods for Scalar-on-Function Regression International Statistical Review |