4 citations · 5 across the 3 of their papers we have counts for
Showing astro-ph.SRShow all
2 papers · 1 filter
astro-ph.SR2024★ 1 cited
De-Biasing Structure Function Estimates From Sparse Time Series of the Solar Wind: A Data-Driven Approach
Daniel Wrench, Tulasi N. Parashar
Structure functions, which represent the moments of the increments of a stochastic process, are essential complementary statistics to power spectra for analysing the self-similar b…
astro-ph.SR2022★ 4 cited
Exploring the potential of neural networks to predict statistics of solar wind turbulence
Daniel Wrench, Tulasi N. Parashar, Ritesh K. Singh +2
Time series datasets often have missing or corrupted entries, which need to be ignored in subsequent data analysis. For example, in the context of space physics, calibration issues…