19 citations · 19 across the 3 of their papers we have counts for
3 papers
Superstatistical Analysis of PDFs and autocorrelation functions for air pollution concentrations in the UK
Nisal Amarakoon, Hankun He, Christian Beck
Conventional statistical models often struggle to fully capture the complex spatio-temporal dynamics, intermittent fluctuations, and heavy-tailed distributions characteristic of re…
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning
Hankun He, Takuya Boehringer, Benjamin Schäfer +2
By employing superstatistical methods and machine learning, we analyze time series data of water quality indicators for the River Thames, with a specific focus on the dynamics of d…
Spatial heterogeneity of air pollution statistics
Hankun He, Benjamin Schäfer, Christian Beck
Air pollution is one of the leading causes of death globally, and continues to have a detrimental effect on our health. In light of these impacts, an extensive range of statistical…