ملف الباحث
Gianluca Bontempi
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Learning causal dependencies in large-variate time series
2020
A major challenge in causal inference from observational data is to discriminate between associative dependencies and effective causal relationships. This is particularly challenging in large-variate and temporal settings (e.g. in spatio-temporal time series) where the …