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...
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Thesis |
| 语言: | English |
| 出版: |
2021
|
| 主题: |