丘政民 (CHIOU Jeng-Min)   Distinguished Research Fellow, Institute of Statistical Science, Academia Sinica  Ph.D. in Statistics, University of California, Davis Phone: +886-2-27875738 Email: jmchiou[at]stat.sinica.edu.tw

 

 

Employment History 

·       Distinguished Professor, Institute of Statistical Science, National Taiwan University (2022 – present)

·       Distinguished Research Fellow, Institute of Statistical Science, Academia Sinica (2017 – present)

·       Associate/Full Research Fellow, Institute of Statistical Science, Academia Sinica (2004--2009/2009--2017)

·       Assistant/Associate Investigator, Division of Biostatistics and Bioinformatics, National Health Research Institutes (2000—2003/2003—2004)

·       Assistant Professor, Department of Mathematics, National Chung Cheng University (1998—2000)

 

Professional Services and Honors 

·       Fellow, Institute of Mathematical Statistics (IMS)   

·       Fellow, American Statistical Association (ASA)  

·       Outstanding Service Award, International Chinese Statistical Association (ICSA) 

·       Outstanding Research Awards, National Science & Technology Council

·       Investigator Awards, Academia Sinica 

·       Deputy/Acting Director, Institute of Statistical Science, Academia Sinica (2009—2013,2014—2016/2016—2017) 

·       Panel Chair of Statistics, Ministry of Science & Technology Review Committee (2014—2016)

·       Co-Editor, Statistica Sinica (2011—2014)

·       Managing Editor, Statistica Sinica (2008—2011) 

·       Associate Editors for Journal of American Statistical Association, Computational Statistics & Data Analysis, Bernoulli, Journal of Chinese Statistical Association, Biometrics, Annals of Institute of Statistical Mathematics

 

Research Interests 

·       Functional data analysis 

·       Longitudinal data modeling 

·       Semi-parametric methods 

·       Clustering and classification 

·       Change point analysis

·       Traffic flow analysis and prediction/ITS 

·       Statistical methods in aging research

·       Biostatistics

 

Research Specialities 

·       Functional data analysis: Functional regression modeling and analysis, functional prediction, functional clustering and classification, linear manifold modeling, multivariate functional data analysis, functional change-point analysis

·       Semi-parametric statistical methods: Non-parametric quasi-likelihood, semi-parametric generalized estimating equations, single- and multiple-index models 

·       Transportation research: Traffic flow prediction, traffic pattern analysis, incident detection, travel time estimation, missing value imputation for traffic data

·       Biostatistics and applications: Aging research, mortality forecasting, statistical analysis for neuroimaging, epidemiologic research

 

Selected Publications

·       Chiou, J.-M. and Li, P.-L. (2024) Modeling curves and derivatives as predictors for traffic breakdown probabilities. The Annals of Applied Statistics 18(3) 2230--2253.

·       Chen, Y.-T., Chiou, J.-M.*, and Huang, T.-M. (2023) Greedy segmentation for a functional data sequence. Journal of the American Statistical Association 118(542), 959-971.

·       Chiou, J.-M.*, Liou, H.-T. and Chen, W.-H. (2021) Modeling time-varying variability and reliability of freeway travel time using functional principal component analysis. IEEE Transactions on Intelligent Transportation Systems 22(1), 257--266. Impact Factor 2019: 6.319.

·       Li, P.-L. and Chiou, J.-M.* (2021) Functional clustering and missing value imputation of traffic flow trajectories. Transportmetrica B: Transport Dynamics 9(1) 1--21.

·       Chiou, J.-M.*, Chen, Y.-T., and Hsing, T. (2019) Identifying multiple changes in mean functions for a functional data sequence with application to freeway traffic segmentation. The Annals of Applied Statistics 13, 1430-1463.

·       Zhang, X., Chiou, J.-M.* and Ma, Y. (2018) Functional prediction through averaging estimated functional linear regression models. Biometrika 105, 945-962.

·       Chiou, J.-M.* and Müller, H-G (2016) A pairwise interaction model for multivariate functional and longitudinal data. Biometrika 103, 371-396.

·       Wang, J-L*, Chiou, J.-M. and Müller, H-G (2016) Functional data analysis. Annual Review of Statistics and Its Application 3, 257-295. (WOS Highly Cited Paper 2024)

·       Chiou, J.-M.*, Yang, Y.-F. and Chen, Y.-T., (2014) Multivariate functional principal component analysis: A normalization approach. Statistica Sinica 24, 1571-1596. (WOS Highly Cited Paper 2024)

·       Chiou, J.-M.* and Müller, H-G (2014) Linear manifold modeling of multivariate functional data. Journal of the Royal Statistical Society Series B: Statistical Methodology 76, 605-626.

·       Chiou, J.-M. (2012) Dynamical functional prediction and classification, with application to traffic flow prediction. The Annals of Applied Statistics 6, 1588-1614.

·       Aston, J.A.D.*, Chiou, J.-M. and Evans, J.E. (2010) Linguistic pitch analysis using functional principal component mixed effect models. Journal of the Royal Statistical Society Series C 59, 297-317.

·       Chiou, J.-M.* and Müller, H-G (2009) Modeling hazard rates as functional data for the analysis of cohort lifetables and mortality forecasting. Journal of The American Statistical Association 104 572-585.

·       Chiou, J.-M.* and Li, P.-L. (2008) Correlation-based functional clustering via subspace projection. Journal of The American Statistical Association 103, 1684-1692.

·       Chiou, J.-M.* and Li, P.-L. (2007) Functional clustering and identifying substructures of longitudinal data. Journal of the Royal Statistical Society Series B 69, 679-699.

·       Ma, Y., Chiou, J.-M. and Wang, N. (2006) Efficient semiparametric estimator for heteroscedastic partially linear models. Biometrika 93, 75-84.

·       Chiou, J.-M.* and Müller, H-G (2005) Estimated estimating equations: semiparametric inference for clustered and longitudinal data. Journal of the Royal Statistical Society Series B 67, 531-553.

·       Chiou, J.-M., Müller, H.-G., and Wang, J.-L. (2004) Functional response models. Statistica Sinica 14, 675-693.

·       Chiou, J.-M. and Müller, H.-G. (2004) Quasi-likelihood regression with multiple indices and smooth link and variance function. Scandinavian Journal of Statistics 31, 367386.

·       Wang, S.-L., Chiou, J.-M., Chen, C.-J.,Tseng, C.-H., Chou, W.-L. Wu, T.-N. and Chang, L. W. (2003) Prevalence of non-insulin-dependent diabetes mellitus and related vascular diseases in southwestern arseniasis-endemic and non-endemic areas in Taiwan. Environmental Health Perspectives 111, 155-159.

·       Chiou, J.-M., Müller, H.-G. and Wang, J.-L. (2003) Functional quasi-likelihood regression models with smooth random effects.  Journal of the Royal Statistical Society Series B: Statistical Methodology 65, 405-423.

·       Chiou, J.-M. and Müller, H.-G. (1999) Nonparametric quasi-likelihood. The Annals of Statistics 27, 34-64.

·       Chiou, J.-M. and Müller, H.-G. (1998) Quasi-likelihood regression with unknown link and variance functions. Journal of the American Statistical Association 93, 1376-1387.