2011. 10. 14-15 / 서울 - Intensive Courses on Statistical Methods for Brain Data

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