Ciprian M. Crainiceanu, Ph.D.
Affiliations: | 2003 | Cornell University, Ithaca, NY, United States |
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"Ciprian Crainiceanu"Parents
Sign in to add mentor| David Ruppert | grad student | 2003 | Cornell | |
| (Nonparametric likelihood ratio testing.) | ||||
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Publications
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| Cui E, Li R, Crainiceanu CM, et al. (2022) Fast Multilevel Functional Principal Component Analysis. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 366-377 |
| Li R, Xiao L, Smirnova E, et al. (2022) Fixed-effects inference and tests of correlation for longitudinal functional data. Statistics in Medicine |
| Cui E, Leroux A, Smirnova E, et al. (2021) Fast Univariate Inference for Longitudinal Functional Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 31: 219-230 |
| Cui E, Crainiceanu CM, Leroux A. (2021) Additive Functional Cox Model. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 30: 780-793 |
| Gaynanova I, Punjabi N, Crainiceanu C. (2020) Modeling continuous glucose monitoring (CGM) data during sleep. Biostatistics (Oxford, England) |
| Hu M, Crainiceanu C, Schindler MK, et al. (2020) Matrix decomposition for modeling lesion development processes in multiple sclerosis. Biostatistics (Oxford, England) |
| URBANEK JK, Karas M, Hsu M, et al. (2020) Computational Opportunities In The Estimation Of Free-living Temporal Gait Parameters From Wearable Accelerometry Data Medicine & Science in Sports & Exercise. 52: 531-531 |
| Leroux A, Di J, Smirnova E, et al. (2019) Organizing and analyzing the activity data in NHANES. Statistics in Biosciences. 11: 262-287 |
| Karas M, Bai J, Strączkiewicz M, et al. (2019) Accelerometry data in health research: challenges and opportunities. Statistics in Biosciences. 11: 210-237 |
| Karas M, Stra Czkiewicz M, Fadel W, et al. (2019) Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation. Biostatistics (Oxford, England) |