Projects per year
Organization profile
organization profile
The Institute of Statistics at NCU, founded in 1979, offers doctoral and master of science degrees. To advance the development of statistical disciplines and to promote their wide applications, the institute is devoted to the training of students’ statistical expertise and to research into new statistical theories and methods. Graduate Programs The institute offers both theoretical and applied courses for Master students, including the required courses in Mathematical Statistics, Statistical Practice , Regression Analysis, and Statistical Computing, as well as many elective courses that cover important research areas including Biostatistics, Industrial Statistics , Finance Statistics , spatial statistics and Big data. The master’s program in Financial Engineering is the first joint program in the nation co-sponsored by the Department of Finance, Mathematics and the Institute of Statistics. Moreover, cooperated with Department of Computer Science & Information Engineering, the Institute offers students the Big Data program to pursuit knowledge and techniques of data science. The Ph.D. program emphasizes the theoretical training in statistical theory. The required courses include Statistical Inference I&II, and Advanced Probability I&II. Research Activities The institute now has nine faculty members. Our faculty conducts research across the spectrum of statistical science from foundations of inference to the discovery of new methodology. They actively participate in various research projects and have many high-quality publications in related fields. Career Prospects Most of our PhD graduates choose to pursue their career in Universities and research institutes. Our MS students have found jobs in various sectors including education, banking and insurance. The majority of them joined the high-tech companies in the northern Taiwan areas. Some of our graduates are also admitted to doctoral degree programs at both local and overseas universities.Fingerprint
Network
Profiles
Research output
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Estimation and selection for spatial confounding regression models
Yang, H. D., Chiou, Y. H. & Chen, C. S., 2023, In: Communications in Statistics - Theory and Methods. 52, 3, p. 939-955 17 p.Research output: Contribution to journal › Article › peer-review
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On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19
Tzeng, S. L., Chen, C. S., Li, Y. F. & Chen, J. H., 2023, In: Journal of Applied Statistics. 50, 6, p. 1418-1434 17 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Bayesian model selection for structural equation models for myopia data
Fan, T. H. & Wang, Y. F., 2022, (Accepted/In press) In: Communications in Statistics - Simulation and Computation.Research output: Contribution to journal › Article › peer-review
Datasets
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Additional file 1 of Severe weather disasters in China linked to solar activity during 1-1825 Common Era
Liu, J. (Creator), Chen, Y. (Creator), Lee, P. (Creator), Huang, C. (Creator) & Fang, T. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.19298030.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Severe_weather_disasters_in_China_linked_to_solar_activity_during_1-1825_Common_Era/19298030/1
Dataset
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Fitting competing risks data to bivariate Pareto models
Lee, W. (Contributor), Sun, L. (Contributor), Emura, T. (Contributor) & Shih, J. (Contributor), figshare Academic Research System, 4 Mar 2019
DOI: 10.6084/m9.figshare.5895925.v1, https://doi.org/10.6084%2Fm9.figshare.5895925.v1
Dataset
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The Pareto type I joint frailty-copula model for clustered bivariate survival data
Lin, Y. (Creator), Sun, L. (Creator), Tseng, Y. (Creator) & Emura, T. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.19692246.v1, https://tandf.figshare.com/articles/dataset/The_Pareto_type_I_joint_frailty-copula_model_for_clustered_bivariate_survival_data/19692246/1
Dataset