Computational network models for molecular, neuronal and brain data in the presence of long range dependence

Computational network models for molecular, neuronal and brain data in the presence of long range dependence

<p>Standard parametric statistical approaches based on comparison to global activity tend to perform poorly when this activity varies over multiple scales. Such multiscale variation, termed long range dependence, is a well-documented features of many biological and neurological data sets. We p...

書誌詳細
第一著者:	Wilsenach, J
その他の著者:	Reinert, G
フォーマット:	学位論文
言語:	English
出版事項:	2021
主題:	Computational neuroscience Proteomics Computational biology Bioinformatics Applied statistics Machine learning Neuroinformatics

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