Intensive Courses on Statistical Methods for Brain Data 일시: 2011년 10월 14일(금)~15일(토) 장소: 서울대학교 상산수리과학관 101호 [Organizing Committee] - 임요한 (서울대학교) - 황동욱 (국가수리과학연구소) [Invited Speakers] - 김용대 (서울대학교 통계학과) - 예종철 (KAIST 바이오및뇌공학과) - 임요한 (서울대학교 통계학과) - 정무경 (U. Wisconsin-Madison / 서울대학교 뇌인지과학과) [Program] Oct 14 (Friday) 09:00-09:20 등록 09:20-09:30 개회사 09:30-12:20 임요한 - Multiple Testing Procedure 09:30-10:20 Motivation and Overview - Multiple testing problem and brain data analysis - Multiple testing framework - Errors in multiple testing 10:30-11:20 Methods - General type-I error rate - Family wise error rate - Tail probability error rate 11:30-12:20 Application and Other Testing issues 12:30-14:00 Lunch 14:00-16:50 예종철 - Random Field Theory for Neuroimage Analysis 14:00-14:50 Random Field Theory I - Excursion probability and p-value - Gaussian fields 15:00-15:50 Random Field Theory II - Calculation of excursion probability . Rice's formula for stochastic process . Homogeneous random fields . Inhomogeneous random fields 16:00-16:50 Application to Neuroimage Analysis and Conclusion 17:30-19:30 Banquet Oct 15 (Saturday) 09:00-11:50 김용대 - Sparse Regression 09:00-19:50 Introduction to Sparse Regression - Variable selection - Penalized regression - Lasso - Nonconvex penalties - Various penalties 10:00-10:50 Algorithm and Asymptotics - Solution path algorithms for Lasso - CCCP algorithm for nonconvex penalties - Persistency, selection consistency, and oracle property - Minimax optimality 11:00-11:50 Sparse Covariance Estimation and Application to Brain Network - Covariance selection problem - Sparse covariance estimation - Semidefinite program - Application to brain network 12:00-13:30 Lunch 13:30-16:20 정무경 - Neuroimage Analysis with SurfStat 13:30-14:20 Basic Brain Image Processing - Volume data processing and visualization - Surface data processing and visualization - Network data processing and visualization 14:30-15:20 Statistical Computing in Brain Imaging - Image smoothing (volume, surface, network) - Monte-Carlo simulation - Simulating random fields - Simulating random networks 15:30-16:20 SurfStat and Its Extension - Cortical structure and thickness modeling - Subcortical structure (amygdala, hippocampus) modeling - Multivariate linear models with SurfStat - Mixed effect models with SurfStat - Brain network analysis 16:30-17:00 Closing [Registration] - 참가신청 마감: 2011년 10월 7일 (금) - 참가비: 없음 - 참가신청 (NIMS 등록페이지로 연결) [Venue] - 서울대학교 상산수리과학관 101호 (DAUM 지도 연결) [Co-organized by] - 계산뇌과학회 - 국가수리과학연구소 (NIMS) - 서울대학교 데이터과학 연구센터 [Sponsored by] - 국가수리과학연구소 (NIMS) - 서울대학교 데이터과학 연구센터 [Contact] - E-mail: office@cbrain.org |