Time Series and Probabilistic Modeling of Evolving Processes at Different Timescales
Tomaso Aste · Cambridge University Press eBooks · 2025
This chapter dissects the modeling of time series and the estimation of scaling laws. It introduced methodologies to estimate the generalized Hurst exponent and discusses stationarity tests. Tools for modeling temporal patterns such as rolling windows, empirical mode decomposition, and temporal clustering are introduced.