國立臺灣大學統計與數據科學研究所

經歷

• Associate Professor, Institute of Statistics and Data Science, National Taiwan University, Taipei, Taiwan (2022.8 – present)
• Associate Research Fellow, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan (2016.11 – 2022.7)
• Assistant Research Fellow, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan (2011.9 – 2016.11)
• Postdoctoral Fellow, Statistical and Mathematical Sciences Institute, Research Triangle Park, NC, USA (2010.9 -- 2011.8)
• Postdoctoral Fellow, Department of Statistics, University of California, Berkeley, CA, USA (2009.9 – 2010.8)

學歷

• Ph. D. Statistics with Emphasis in Biostatistics, University of California, Davis, CA, USA (2005.9 – 2009.8)

榮譽

• Career Development Award, Academia Sinica, Taiwan, 2017–2021
• Ta-You Wu Memorial Award, MOST, Taiwan, 2015

• Classification
• Dimension Reduction
• Functional Approaches for Neuroimaging
• Functional/Longitudinal Data Analysis
• Nonparametric Regression

• C.-R. Jiang, E. Lila, J. A D Aston*, and J.-L. Wang (2022) “Eigen-Adjusted Functional Principal Component Analysis” Journal of Computational and Graphical Statistics, 31, 1141–1152. https://doi.org/10.1080/10618600.2022.2067550
• W.-C. Cheng, L.-H. Chen*, C.-R. Jiang*, Y.-M. Deng, CK Wang, C.-H. Lin, R. Jou*, J.-K. Wang*, and Y.-L. Wang* (2021), “Sensible Functional Linear Discriminant Analysis Effectively Discriminates Enhanced Raman Spectra of Mycobacterium Species”, Analytical Chemistry, 93,2785– 2792. https://dx.doi.org/10.1021/acs.analchem.0c03681
• C.-R. Jiang* and L.-H. Chen (2020) “Filtering Based Approaches for Functional Data Classification,” WIREs Computational Statistics, 12(4), wics1490. doi:10.1002/wics.1490.
• L.-H. Chen and C.-R. Jiang* (2018) “Sensible Functional Linear Discriminant Analysis,” Computational Statistics and Data Analysis, 126, 39–52. doi:10.1016/j.csda.2018.04.005.
• L.-H. Chen and C.-R. Jiang* (2017) “Multidimensional Functional Principal Component Analysis,” Statistics and Computing, 27(5), 1181–1192. doi:10.1007/s11222-016-9679-5.
• C.-R. Jiang, J. A D Aston* and J.-L. Wang (2016) “A Functional Approach to Deconvolve Dynamic Neuroimaging Data,” Journal of the American Statistical Association, 111, 1–13.
• C.-R. Jiang, J. C.-C. Liu, X. J. Zhou and H. Huang* (2014) “Statistical Optimization in Multi-label Classification Problems,” Statistica Sinica, 24, 1547–1570.
• C.-R. Jiang, W. Yu and J.-L. Wang* (2014) “Inverse Regression for Longitudinal Data,” Annals of Statistics, 42, 563–591.(Supplement: DOI:10.1214/13-AOS1193SUPP.)(Correction: C.-R. Jiang and J.-L. Wang* (2015) Annals of Statistics, 43, 2326–2329.)
• J. J. Li, C.-R. Jiang, J. B. Brown, H. Huang* and P. J. Bickel* (2011) “Sparse Linear Modeling of RNA-seq Data for Isoform Discovery and Abundance Estimation,” PNAS, 108 (50), 19867– 19872; doi:10.1073/pnas.1113972108.
• C.-R. Jiang* and J.-L. Wang (2011) “Functional Single Index Models for Longitudinal Data,” Annals of Statistics, 39, 362–388.
• P.-F. Duyck, N. Kouloussis, N.T. Papadopoulos, S. Quilici, J.-L. Wang, C.-R. Jiang, H.-G. Müller, and J. R. Carey* (2010) “Lifespan of a Ceratitis Fruit Fly Increases with Higher Altitude,” Biological Journal of the Linnean Society, 101, 345–350.
• C.-R. Jiang and J.-L.Wang*(2010) “Covariate Adjusted Functional Principal Components Analysis for Longitudinal Data,” Annals of Statistics, 38, 1194–1226.
• C.-R. Jiang, J. A D Aston*, and J.-L. Wang (2009) “Smoothing Dynamic Positron Emission Tomography Time Courses Using Functional Principal Components,” NeuroImage, 47, 184–193 (NIHMSID #123391, Publ.ID: YNIMG6096)

• Statistical Learning (111-1 , 112-1)
• Nonparametric Regression (111-2)