Publications

Published Papers and Preprints

• 2026+
  Minor
  Revision
  Network Cross-Validation and Model Selection via Subsampling

  Chakrabarty, S., Sengupta, S., Chen, Y.

  Minor revision at Journal of the Royal Statistical Society Series B

  arXiv:2504.06903 Minor Revision @ JRSS-B
• 2025
  Subsampling Based Community Detection for Large Networks

  Chakrabarty, S., Sengupta, S., Chen, Y.

  Statistica Sinica (35) 1627 – 1648

  Paper Supplementary
• 2024
  Pharmacokinetics of Injectable Meloxicam and Buprenorphine in the Naked Mole-Rat (Heterocephalus glaber)

  Moran, C., Park, T., Buffenstein, R., Chakrabarty, S., Lindeblad, M., Fortman, J., Adams, C.

  Journal of the American Association for Laboratory Animal Science (63) 565 – 571

  Paper
• 2024
  Contribution of Tinnitus and Hearing Loss to Depression: NHANES Population Study

  Chakrabarty, S., Mudar, R., Chen, Y., Husain, F.

  Ear and Hearing (45) 775 – 786

  Paper Supplementary 1 Supplementary 2
• 2023
  What Is the Linear Accuracy of Regional Voxel-Based Registration for Orthognathic Surgery Landmarks?

  Han, M. D., Kwon, T. G., Miloro, M., Chakrabarty, S.

  Journal of Oral and Maxillofacial Surgery (81) 546 – 556

  Paper
• 2021
  Robust Generalised Quadratic Discriminant Analysis

  Ghosh, A., SahaRay, R., Chakrabarty, S., Bhadra, S.

  Pattern Recognition (117) 107981

  Paper

Ongoing Projects

• 2026+
  Ongoing
  Resampling Networks and Network Statistics

  Chakrabarty, S., Levina, E.

  In preparation
• 2026+
  Ongoing
  Fast Network Subsampling and Aggregation Using Overlapping Partitions

  Chakrabarty, S., Levina, E.

  In preparation
• 2026+
  Ongoing
  Randomized Network Cross-Validation

  Chakrabarty, S., Panigrahi, S., Levina, E.

  In preparation
• 2026+
  Ongoing
  Local Feature Importance in Network Linked Machine Learning Prediction Models

  Chakrabarty, S., Levina, E., Zhu, J.

  In preparation
• 2026+
  Ongoing
  Identifying a Neurochemical Signature of the Paraventricular Nucleus of the Thalamus that Predicts Individual Variability in Cue-Reward Learning

  Ramos, B., Chakrabarty, S., Cain, C., Levina, E., Kennedy, R., Flagel, S.

  In preparation
• 2026+
  Ongoing
  Machine Learning Models to Predict Objective Remission in Veterans with Ulcerative Colitis Treated with Thiopurines

  Hou, J., Chakrabarty, S., Huang, J., Van, T., Baker, J., Zhu, J., Waljee, A.

  In preparation