19 citations · 67 across the 10 of their papers we have counts for
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Inferring Causality from Time Series data based on Structural Causal Model and its application to Neural Connectomics
Rahul Biswas, SuryaNarayana Sripada, Somabha Mukherjee
Inferring causation from time series data is of scientific interest in different disciplines, particularly in neural connectomics. While different approaches exist in the literatur…
Application of Time-Aware PC algorithm to compute Causal Functional Connectivity in Alzheimer's Disease from fMRI data
Rahul Biswas, SuryaNarayana Sripada
Functional Connectivity between brain regions is known to be altered in Alzheimer's disease, and promises to be a biomarker for early diagnosis of the disease. While several approa…
Tensor Recovery in High-Dimensional Ising Models
Tianyu Liu, Somabha Mukherjee, Rahul Biswas
The -tensor Ising model is an exponential family on a -dimensional binary hypercube for modeling dependent binary data, where the sufficient statistic consists of all -fol…