個人研究

年度 發表日期 名稱 姓名
2022 Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach, Submit to ”Advances in Data Analysis and Classification”, Revised. 吳漢銘 細節
2022 Python package “BOOME”: Boosting algorithm for measurement error in binary responses and high-dimensional covariates. 陳立榜 細節
2022 R package “SIMEXBoost”: Boosting method for high-dimensional error-prone data. 陳立榜 細節
2020 Matrix visualization: a review and perspective, WIRES Computational Statistics. Revised. 吳漢銘 細節
2020 Dimension reduction and visualization of symbolic interval-valued data using sliced inverse regression. in Advances in Data Science: Symbolic, Complex, and Network Data (eds. Diday, E., Guan, R., Saporta, G., and Wang, H.). Wiley, pp. 49-78. 吳漢銘 細節
2018 A clustering method for misaligned curves 黃子銘 細節
2017 An ISIS screening approach involving threshold/partition for variable selection in linear regression 黃子銘 細節
2017 “Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM” 周珮婷 細節
2016 A nonparametric copula density estimator incorporating information on bivariate marginals 黃子銘 細節
2008 Matrix visualization. In Chun-houh Chen, Wolfgang H‥ardle, and Antony Unwin, editors, Handbook of Data Visualization, pp. 681-709, Springer-Verlag, Heidelberg. 吳漢銘 細節