High Dimensional Classification
posted on September 1, 2021

High Dimensional Classification

High Dimensional Classification.

*Park, H., Baek, S. and Park, J. (2021+) High Dimensional Classification Based on Nonparametric Maximum Likelihood Estimation Under Unknown and Inhomogeneous Variances. Minor revision in Statistical Analysis and Data Mining.

*Park, H., Baek, S. and Park, J. (2021+) High-dimensional linear discriminant analysis using nonparametric methods, Accepted in Journal of Multivariate Analysis.

Baek, S., *Park, H., and Park, J. (2021+) A High-Dimensional Classification Rule Using Sample Covariance Matrix Equipped With Adjusted Estimated Eigenvalues, STAT Article Link

Baek, S., *Kim, Y., Park, J. and Lee, J. (2021+) Revisit to Functional Data Analysis of Sleeping Energy Expenditure, Journal of Applied Statistics Article Link

Park, J. and Park, D. (2015). Stein’s method in High Dimensional Classification and Applications. Computational Statistics and Data Analysis, 82, 110-125.

*Choi, S. and Park, J. (2014). Nonparametric Additive Model with Grouped Lasso and Maximizing Area Under the ROC Curve, Computational Statistics and Data Analysis, 77, 313-325, 2014.

Park, J. (2010) Independent rule in classification of multivariate binary data, Journal of Multivariate Analysis, 100, 2270-2286.

Greenshtein, E. and Park, J. (2009). Application of Non Parametric Empirical Bayes estimation to High Dimensional Classification, Journal of Machine Learning Research, 10, 1687-1704.

Greenshtein, E., Park, J. and Lebanon, G. (2009). Regularization through variable selection and conditional MLE with application to classification in high dimension, Journal of Statistical Planning and Inference, 139, 385-395.

Park, J. and Ghosh, J.K. (2007). Persistence of the Plug in Rule in Classification of High Dimensional Multivariate Binary Data. Journal of Statistical Planning and Inference, Vol.137, 3687-3705.