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...
| Главный автор: | |
|---|---|
| Другие авторы: | |
| Формат: | Диссертация |
| Язык: | English |
| Опубликовано: |
2021
|
| Предметы: |