Multifractal Analysis

We investigate flexible methodologies to better detect, and correctly model, hidden local trends in time series at different scales. The performance of our methods is assessed with extensive numerical experiments on benchmarks, but also is used to detect and characterize the scalar properties of the daily precipitation time series in meteorological stations of tropical regions.

UG - UTDallas

Ignacio Segovia-Dominguez
Ignacio Segovia-Dominguez
Visiting Scientist / Postdoctoral Research Associate

My research interests include topological and geometric methods in statistics and machine learning, analysis of complex dynamic networks, and evolutionary computation.