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587 ! | Wed, 8/12/2015, 2:00 PM - 3:50 PM | CC-201 | |
Mining Big Data in Computational Neuroscience: Top-Down Methods — Topic Contributed Papers | |||
Section on Statistical Learning and Data Mining , International Chinese Statistical Association , Government Statistics Section | |||
Organizer(s): Hongtu Zhu, The University of North Carolina at Chapel Hill | |||
Chair(s): Haipeng Shen, The University of North Carolina at Chapel Hill | |||
2:05 PM | MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction — Hongtu Zhu, The University of North Carolina at Chapel Hill ; Dan Shen, University of South Florida | ||
2:25 PM | Functional Bilinear Regression with Matrix Covariates via Reproducing Kernel Hilbert Space with Applications in Neuroimaging Data Analysis — Dan Yang, Rutgers University ; Dong Wang, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill ; Haipeng Shen, The University of North Carolina at Chapel Hill | ||
2:45 PM | Noise Quantification in MR Experiments — Joerg Polzehl, Weierstrass Institute for Applied Analysis and Stochastics ; Karsten Tabelow, Weierstrass Institute for Applied Analysis and Stochastics | ||
3:05 PM | Flexible State-Space Models with Application to Brain Signals — Hernando Ombao, UC Irvine ; Zhe Yu, UC Irvine ; Raquel Prado, UC Santa Cruz | ||
3:25 PM | Floor Discussion |
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