Jin-Hong Park


Associate Professor in Statistics

Department of Mathematics
College of Charleston
Charleston, SC 29424

Office: 351 Robert Scott Small Building
Phone: (843) 953-4838

E-mail: parkj@cofc.edu

Research Interest:

Dimension Reduction Methods

Applied Time Series Modeling

Nonparametric Methods

Intervention Analysis

Financial/Econometric Applications in Statistics

Teaching Experience:

Applied Time Series Analysis

Design of Experiments

Applied Regression Analysis

Mathematical Statistics I & II

Statistical Methods I & II

Elementary Statistics

Teaching Schedule for Fall 2017:

MATH 250 (Statistical Method I) - Section 01 & Section 08

MATH 399 (Tutorials: Applied Time Series)

MATH 431 (Mathematical Statistics II - Undergraduate)

MATH 531 (Mathematical Statistics II - Graduate)


Statistics Training Sharpens Skills

Careers in Statistics

Statistics Track at the College of Charleston



University of Georgia (PhD in Statistics)

Recent Publications:

* Park, J.-H. and Sriram, T.N. (2017) Robust estimation of conditional variance of time series using density power, Journal of Forecasting, Vol 36, No. 6: 703-717

* Park, J.-H. and Samadi S.Y. (2014) Heteroscedastic model via the autoregressive conditional variance subspace, The Canadian Journal of Statistics, Vol 42, No. 3: 423-435

* Park, J.-H., Bandyopadhyay, D, and Letourneau, E. (2014) Examining deterrence of adult sex crimes: A semi-parametric intervention time series approach, Computational Statistics & Data Analysis, Vol 69: 198-207

* Habtzghi, D. and Park, J.-H. (2013) Estimation of Regression Model using a two stage nonparametric approach, Applied Mathematics, Vol 4, No. 8: 1189-1198

* Park, J.-H. (2013) Multi-Index Approach to Multiple Autoregressive Time Series Model, Statistics and Computing, Vol 23, No. 2: 201-208


Recent talks:

* Feb. 2016 - Colloquium: A new look at the nonlinear time series modeling using non- (or seim-) parametric approach, College of Charleston, Charleston, SC

* Jan. 2016 - Special Seminar: The time series modeling using dimension reduction approach, College of Science and Health, DePaul University, Chicago, IL

* July 2015 - The 5th international conference on Recent Development in Statistical Science and Its Application: Session I on Statistical Learning Methods and Their Application, Examining deterrence of adult sex crimes: A semi-parametric intervention time series approach, The Research Center for Data Science, Chung-Ang University, Seoul, South Korea

* Aug. 2013 - Contributed Oral Poster Presentations: Nonparametric Statistics, Nonparametric intervention time series modeling, Joint Statistical Meetings, Montreal, Quebec, Canada

* Apr. 2013 - Colloquium: Multiple autoregressive time series modeling by the sufficient dimension reduction, College of Charleston, SC