Description

Functional magnetic resonance imaging (fMRI) is used to study brain activity due

to stimuli presented to subjects in a scanner. It is important to conduct statistical

inference on such time series fMRI

Functional magnetic resonance imaging (fMRI) is used to study brain activity due

to stimuli presented to subjects in a scanner. It is important to conduct statistical

inference on such time series fMRI data obtained. It is also important to select optimal designs for practical experiments. Design selection under autoregressive models

have not been thoroughly discussed before. This paper derives general information

matrices for orthogonal designs under autoregressive model with an arbitrary number

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    Contributors
    Date Created
    • 2017
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2017
      Note type
      thesis
    • Includes bibliographical references (page 15)
      Note type
      bibliography
    • Field of study: Statistics

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    by Chuntao Chen

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