| Inferential Statistics |
This course introduces probability and mathematical theories about statistical estimation and hypothesis testing. |
| Theory of Regression Analysis |
This course deals with the regression analysis in linear and multivariate regression. |
| Categorical Data Analysis |
Contingency table analysis, categorical data analysis by generalized linear model including logit model and log-linear model, theory and practice of repeated categorical data analysis. |
| Computational Statistics |
This course introduces how to construct an algorithm for statistical calculation based on numerical analysis methods and programming languages. |
| Statistical Consulting and Practices |
This course is to develop the skills needed by statistical consultant. Topics include data analysis, problem solving, report writing, oral communication with clients, and practical aspects of consulting management. |
| Nonparametric Statistics |
Deals mainly with the non-parametric statistical hypothesis testing including the sign test, McNemar test, Mann-Whitney test, and etc.. |
| Bayesian Statistics |
Understand basics of Bayesian statistics with emphasis on concepts and applications. Deal with prior and posterior distribution, Bayesian inference and hypothesis testing, Bayesian approaches to linear models. |
| Time Series Analysis |
Single or multi-variate time-dependent data analysis. The course including the theory and practices of ARIMAX model, multi-variate GARCH model, unit root test, co-integration model. |
| Theory of Linear Models |
Introduces basic statistical theory of linear models, calculation of least square fitting, and theory of the generalized linear model and its application. |
| Spatial Statistics |
This course introduces statistical methods considering spatial correlations. Topics are point-referenced data, areal data, spatio-temporal data, etc. |
| Statistical Data Science |
This course is aimed at graduate students majoring in applied statistics and interested in data science. It coverse statistical computing algorithms including optimizations, gradient descents, etc. |
| Seminar in Recent Development of Applied Statistics I |
A Seminar in recent development of statistics theory and applications. |
| Seminar in Recent Development of Applied Statistics II |
A Seminar in recent development of statistics theory and applications. |
| Thesis Advising |
Advising for subject and methodology of research. |