2018 Workshop on High Dimensional Statistical Analysis Taipei, Taiwan

Program

Time	Dec. 7（Fri.）	Dec. 8（Sat.）	Dec. 10（Mon.）	Dec. 11（Tue.）
	2nd Conference Room	2nd Conference Room	2nd Conference Room	2nd Conference Room
Topic	Interactive and Sequential Machine Learning	Time Series and its Applications in PM2.5 Data Analysis	Dimension Reduction and Clustering Analysis for high dimensional data	Probability Theory and its Application in cryo-EM Image Analysis
08:45-09:00	Opening
09:00-10:15	Keynote Speech Chair: Ruey S. Tsay Speaker: Robert Nowak Introduction to Theory of Active Machine Learning	Keynote Speech Chair: Hwai-Chung Ho Speaker: Ching-Kang Ing An introduction to high-dimensional time series models	Keynote Speech Chair: Su-Yun Huang Speaker: Makoto Aoshima High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs	Keynote Speech Chair: Yi-Ching Yao Speaker: Tiefeng Jiang Sample Correlation for High-Dimensional Data
10:15-10:45	Tea Break	Tea Break	Tea Break	Tea Break
10:45-12:00	Keynote Speech Speaker: Robert Nowak High-Dimensional Multiple Testing and Multi-Armed Bandits	Keynote Speech Speaker: Ching-Kang Ing Estimation of autocovariance matrices of serially dependent data and analysis of high-dimensional multivariate time series	Keynote Speech Speaker: Makoto Aoshima New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation	Keynote Speech Speaker: Tiefeng Jiang Largest Entries of Sample Correlation Matrices from Equi-correlated Normal Populations
12:00-13:40	Lunch Break	Lunch Break	Lunch Break	Lunch Break
13:40-14:40 14:40-15:40	Session 1 Chair: Henry Horng-Shing Lu Speaker: Yuan-chin Ivan Chang Applying Distributed Sequential Methods to Huge Data Analysis Speaker: Yuh-Jye Lee Reduced Support Vector Machines: A Compressed Learning Viewpoint	Session 1 Chair: Mei-Hui Guo Speaker: Jing-Shiang Hwang Source apportionment of PM2.5 concen-trations with Bayesian hierarchical mod-els Speaker: Ling-Jyh Chen Making Sense of Internet of Things: us-ing AirBox as an Example	Session 1 Chair: Hung Chen Speaker: Hung Hung Sufficient dimension reduction via random-partition for large-p-small-n problem Speaker: Ming-Yueh Huang Estimating continuous treatment effect functions with joint suffi-cient dimension reduction	Session 1 Chair: Wei-hau Chang Speaker: Shao-Hsuan Wang Analyzing Model Bias in Cryo-EM Single-Particle Image Processing Speaker: Szu-Han Lin Random partition t-SNE
15:40-16:00	Tea Break	Tea Break	Tea Break	Tea Break
16:00-17:00	Session 2 Chair: Ray-Bing Chen Speaker: Ting-Li Chen Robust linear discriminant analysis based on γ-divergence	Session 2 Chair: Youngjo Lee Speaker: Hsin-Cheng Huang Spatial Analysis of Fine Particulate Matter in Taiwan	Session 2 Chair: Mong-Na Lo Huang Speaker: Shih-Hao Huang A Two-Step Supervised Dimen-sion Reduction with Applica-tions to Face Recognition	Session 2 Chair: Bo-Cheng Lai Speaker: Szu-Chi Chung A Dimension Reduction Method For Cryo-EM Image Processing
17:30	Reception (By invitation only)		Banquet (By invitation only) (Bus leaves HSS at 17:20)