Search Results for author:
Found 4 papers, 1 papers with code
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
Multivariate Hawkes processes (MHPs) are versatile probabilistic tools used to model various real-life phenomena: earthquakes, operations on stock markets, neuronal activity, virus propagation and many others.
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
Both clustering and outlier detection play an important role for meteorological measurements.
Interpretable Gait Recognition by Granger Causality
We apply the graphical Granger model (GGM) to obtain the so-called Granger causal graph among joints as a discriminative and visually interpretable representation of a person's gait.
Causal Discovery in Hawkes Processes by Minimum Description Length
The synthetic experiments demonstrate superiority of our method incausal graph discovery compared to the baseline methods with respect to the size of the data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
