HDMT Lab covers a variety of research areas including high dimensional data analysis and classical areas.
Multiple Testing Multiple Testing Multiple testing procedures are playing a key role in high dimensional problem such as variable selection and dimension reduction and genetics such as GWAS and protein domain data. One major issue in multiple...
Multiple Testing Multiple testing procedures are playing a key role in high dimensional problem such as variable selection and dimension reduction and genetics such as GWAS and protein domain data. One major issue in multiple...
Mean Vector Estimation Mean Vector Estimation Estimation of mean vector is a classical problem which includes Stein’s paradox. There are many approahces in estimating mean vecotr such as linear estimator and approximate Bayes estimator using nonparametric empirical Bayes...
Mean Vector Estimation Estimation of mean vector is a classical problem which includes Stein’s paradox. There are many approahces in estimating mean vecotr such as linear estimator and approximate Bayes estimator using nonparametric empirical Bayes...
Hypothesis Testing Hypothesis Testing Some classical idea of ombinus or global testing methods have been extended to high dimension dramatically for the last two decades. One typical problem is the extension of Hotelling’s T test for testing...
Hypothesis Testing Some classical idea of ombinus or global testing methods have been extended to high dimension dramatically for the last two decades. One typical problem is the extension of Hotelling’s T test for testing...
High Dimensional Classification High Dimensional Classification High Dimensional Classification. Related Publications *Park, H., Baek, S. and Park, J. (2022) High Dimensional Classification Based on Nonparametric Maximum Likelihood Estimation Under Unknown and Inhomogeneous Variances. Statistical Analysis and Data Mining,...
High Dimensional Classification High Dimensional Classification. Related Publications *Park, H., Baek, S. and Park, J. (2022) High Dimensional Classification Based on Nonparametric Maximum Likelihood Estimation Under Unknown and Inhomogeneous Variances. Statistical Analysis and Data Mining,...
