Author

Sambit Mishra

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#machine learning Preprint Sep 2026

Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms

Causal discovery from observational data is fundamental to statistics and machine learning, yet determining causal direction without interventions necessitates structural assumptions. Existing identifiability research primarily focuses on continuous variables under additive noise models, often neglecting mixed datasets...

Sambit Mishra, Ying-Ying Wang, Christine K. Johnson et al. · 1 citation

#machine learning Preprint Aug 2026

Causal Discovery in Equal Variance Linear Gaussian DAGs via SURE-Tuned Ridge Regression

This work proposes SURE-Ridge, a non-iterative, closed-form estimator for equal variance linear Gaussian SEM, which achieves the lowest structural Hamming distance in the small-sample regime and the lowest run time across all sample sizes tested, compared with NOTEARS, DAGMA, and GBNSL baselines.

Sambit Mishra, Urbashi Mitra · 2 citations