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Outlier Detection for Multi-Network Data

Autor: Dey, Pritam, Zhang, Zhengwu, Dunson, David B.

It has become routine in neuroscience studies to measure brain networks for different individuals using neuroimaging. These networks are typically expressed as adjacency matrices, with each cell containing a summary of connectivity between a pair of

Externí odkaz: http://arxiv.org/abs/2205.06398

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Akademický článek

Essential oils and their critical implications in human use

Autor: Nath, Pinku Chandra, Dey, Pritam, Paul, Tania, Shil, Saurav, Sarkar, Sambit, Rustagi, Sarvesh, Bhattacharya, Debasmita, Vora, Kunal, Roy, Rupak

Publikováno v: In Biocatalysis and Agricultural Biotechnology September 2024 60

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dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference

Autor: Gupta, Neha R., Orlandi, Vittorio, Chang, Chia-Rui, Wang, Tianyu, Morucci, Marco, Dey, Pritam, Howell, Thomas J., Sun, Xian, Ghosal, Angikar, Roy, Sudeepa, Rudin, Cynthia, Volfovsky, Alexander

dame-flame is a Python package for performing matching for observational causal inference on datasets containing discrete covariates. This package implements the Dynamic Almost Matching Exactly (DAME) and Fast Large-Scale Almost Matching Exactly (FLA

Externí odkaz: http://arxiv.org/abs/2101.01867

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