berkeley-stat159 / project-iota

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Report outlier #74

Closed Jay4869 closed 8 years ago

Jay4869 commented 8 years ago

Abstract

Introduction

Data Preprocessing

  1. Remove signal noise - (in-brain-mask)
  2. Spatial smoothing - Gaussian filter
  3. Temporal Smoothing a. Discuss trade-off
  4. Analysis (1) Linear Regress a. block design b. Event-related + clock design (2) GLS ( non-constant variance of error) (3) Finalized Design matrix a. Beta b. T-value c. P-value
  5. Diagnostics (1) F-test on cond3 vs cond5 (2) F-test on cond2 vc cond5 (3) subtract 2-Back to 0-Back (4) Validation test a. shapiro-test b. sample testing