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Brain Network Analysis,New
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This Tutorial Reference Serves As A Coherent Overview Of Various Statistical And Mathematical Approaches Used In Brain Network Analysis, Where Modeling The Complex Structures And Functions Of The Human Brain Often Poses Many Unique Computational And Statistical Challenges. This Book Fills A Gap As A Textbook For Graduate Students While Simultaneously Articulating Important And Technically Challenging Topics. Whereas Most Available Books Are Graph Theorycentric, This Text Introduces Techniques Arising From Graph Theory And Expands To Include Other Different Models In Its Discussion On Network Science, Regression, And Algebraic Topology. Links Are Included To The Sample Data And Codes Used In Generating The Book'S Results And Figures, Helping To Empower Methodological Understanding In A Manner Immediately Usable To Both Researchers And Students.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.