Author

Mohammad Arashi

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#machine learning Preprint Sep 2026

Feature Space Selection and Heterogeneous Effect Estimation for Blood-Brain Barrier Permeability: A Random Forest to the Generalized Random Forest Pipeline

Evidence that LogP-BBB associations vary systematically across chemical space is insufficient underscores that feature representation and model architecture are coupled design choices, and that unorthogonalized causal forests risk overstating genuine treatment effect heterogeneity.

Tshemollo Rapolai, S. Makgai, Mohammad Arashi · 0 citations

Preprint Jul 2026

Scalable Bayesian structure learning of directed acyclic graphs via Laplace approximation, with an application to breast cancer gene expression networks

A Laplace-approximated Bayesian scoring function for the non-conjugate Normal--Gamma prior is developed and, through the DAG-probit extension, predicts malignancy from nuclear morphometry with a cross-validated ROC-AUC of $0.94$ using a sparse, interpretable set of direct predictors.

Samaneh Nazari, Mohammad Arashi, Abdolnasser Sadeghkhani · 0 citations

Preprint Jul 2026

Bayesian DAG Structure Learning with Simultaneous Shrinkage Covariance Estimation under Scale-Mixture Error Distributions in the Proportional High-Dimensional Regime

We propose a unified Bayesian framework namely robust DAG-Cholesky horseshoe (R-DACH) for joint directed acyclic graph (DAG) structure learning and precision matrix estimation in the high-dimensional proportional asymptotic regime $p/n \to c \in (0,\infty)$, under the scale mixture of normal errors. The construction pl...

Samaneh Nazari, Mohammad Arashi, Abdolnasser Sadeghkhani · 0 citations