研討會論文
年度 論文名稱
2014 Wu, H.M., 2014.05, 直方圖資料的維度縮減與視覺化, 第九屆海峽兩岸機率與統計學術研討會, May 16-18, 2014, 2014, Taichung, Taiwan. [逢甲大學] [invited.], 2014
2014 Wu, H.M., 2014.05, Sliced inverse regression for dimension reduction and visualization of symbolic intervalvalued data, 台灣智慧科技與應用統計學會年會暨研討會, 24 May, 2014, Taipei, Taiwan. [銘傳大學] [invited.], 2014
2014 Wu, H.M., 2014.06, Dimension reduction and visualization of histogram-valued data using sliced inverse regression, The 4th Workshop in Symbolic Data Analysis (SDA 2014), June 14-16, 2014, Taipei, Taiwan. [invited.], 2014
2014 Wu, H.M., 2014.08, Cumulative slicing estimation for multiple nonlinear manifolds learning, 21st International Conference on Computational Statistics (COMPSTAT2014), August 19-22, 2014, Geneva, Switzerland. [contributed], 2014
2014 Wu, H.M., 2014.11, Dimension reduction and visualization of time dependent interval data using sliced inverse regression, ISI Regional Statistics Conference 2014 (ISI-RSC2014), November 16-19, 2014, Kuala Lumpur, Malaysia. [invited.], 2014
2014 Wu, H.M., 2014.12, Dimension reduction and visualization of multivariate time series data: a symbolic data analysis approach, 103 年中國統計學社社員大會暨國際統計學術研討會, Dec 06, 2014, 交通大學。[invited], 2014
2014 Vivian Yi-Ju Chen, 2014.08, A geographically weighted autoregressive regression technique to modeling spatial dependence and nonstationarity. The 21st International Conference on Computational Statistics (COMPSTAT 2014), Geneva, Swiss., 2014
2014 Chih-Hao Chang, 2014.06, On the Asymptotic Loss Efficiency of Conditional Generalized Information Criterion in Spatial Prediction. (The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting/福華國際文教會館/臺北), 2014
2014 Chih-Hao Chang, 2014.11, Asymptotic Theory of Generalized Information Criterion for Geostatistical Regression Model Selection. (International Conference on Mathematics, Statistics, and Financial Mathematics 2014 (ICMSFM2014) with IASC-ARS Sessions, Kuala Lumpur, Malaysia.), 2014
2014 Chih-Hao Chang, 2014.12, Asymptotic Behaviors of Conditional Generalized Information Criterion for Geostatistical Regression Model Selection. (103年中國統計學社社員大會暨國際統計學術研討會/國立交通大學/新竹), 2014