Ci-Ren Jiang, Ph.D.
Affiliations: | 2009 | Statistics | University of California, Davis, Davis, CA |
Area:
StatisticsGoogle:
"Ci-Ren Jiang"Parents
Sign in to add mentor| Jane-Ling Wang | grad student | 2009 | UC Davis | |
| (Covariate adjusted functional principal component analysis.) | ||||
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. |
| Jiang C, Chen L. (2020) Filtering‐based approaches for functional data classification Wires Computational Statistics. 12 |
| Chen L, Jiang C. (2018) Sensible functional linear discriminant analysis Computational Statistics & Data Analysis. 126: 39-52 |
| Jiang CR, Aston JA, Wang JL. (2016) A Functional Approach to Deconvolve Dynamic Neuroimaging Data. Journal of the American Statistical Association. 111: 1-13 |
| Jiang C, Wang J. (2015) Correction to "Inverse regression for longitudinal data" The Annals of Statistics. 43: 2326-2329 |
| Jiang C, Yu W, Wang J. (2014) Inverse regression for longitudinal data The Annals of Statistics. 42: 563-591 |
| Li JJ, Jiang CR, Brown JB, et al. (2011) Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation. Proceedings of the National Academy of Sciences of the United States of America. 108: 19867-72 |
| Jiang C, Wang J. (2011) Functional single index models for longitudinal data The Annals of Statistics. 39: 362-388 |
| Duyck PF, Kouloussis NA, Papadopoulos NT, et al. (2010) Lifespan of a Ceratitis fruit fly increases with higher altitude. Biological Journal of the Linnean Society. Linnean Society of London. 101: 345-350 |
| Jiang C, Wang J. (2010) Covariate adjusted functional principal components analysis for longitudinal data The Annals of Statistics. 38: 1194-1226 |
| Jiang CR, Aston JA, Wang JL. (2009) Smoothing dynamic positron emission tomography time courses using functional principal components. Neuroimage. 47: 184-93 |