Tímabilsútbreiðsla
Tímabilsútbreiðsla, a term originating from Icelandic, translates to "time series expansion" or "expansion of temporal data." It refers to a statistical technique used to enhance or reshape time series data. This process often involves creating new features or variables from existing time series information to improve the performance of machine learning models or to facilitate more in-depth analysis.
The core idea behind tímabilsútbreiðsla is to extract additional temporal context that might not be immediately
This technique is particularly valuable in fields like econometrics, finance, and signal processing where understanding patterns