Publications | Dhrubajyoti Ghosh

Google Scholar · ORCID · CV

† Student or trainee supervised/co-supervised by D. Ghosh.

Peer-reviewed and accepted

1. † Ibenye, C., † Jimenez, A.-V., † Jaeger, S. & Ghosh, D. When Machines Lie Differently: Detecting AI vs Human Fake News. Accepted at ICMLA (2026). arXiv:2607.21967
2. Ghosh, D. A Rank-Based Information Fusion Framework for Comparing Clustered Multivariate Socioeconomic Outcomes. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1–5 (2026).
3. Ghosh, D., Boettcher, W., Johnston, R. & Lahiri, S. Machine Learning Based Bot Detection on X With Temporal and Semantic Feature Integration. IEEE Transactions on Computational Social Systems (2026).
4. Ghosh, D., McElroy, T. & Lahiri, S. Polyspectral Mean Estimation of General Nonlinear Processes. Bernoulli (2026), in press.
5. Ghosh, D. & Pal, S. Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches. The New England Journal of Statistics in Data Science, 1–23 (2026).
6. Ghosh, D., Tushar, F., Dahal, L., Vancoillie, L., Lafata, K. J., Samei, E., Lo, J. Y. & Luo, S. Demographic distribution matching between real-world and virtual phantom population. Medical Physics 53, e70364 (2026).
7. McElroy, T., Ghosh, D. & Lahiri, S. Polyspectral factorization. Annals of the Institute of Statistical Mathematics, 1–25 (2026).
8. † Peddi, P. K. & Ghosh, D. Integrating Causal Inference with Graph Neural Networks for Alzheimer’s Disease Analysis. DATA 2026, 450–457.
9. Dahal, L., Ghojoghnejad, M., Vancoillie, L., Ghosh, D., et al. XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. Medical Image Analysis 103, 103636 (2025).
10. Ghosh, D. Assessing air quality extremes: a comparative extreme value analysis of metropolitan cities across India and the world. Environmental Monitoring and Assessment 197, 276 (2025).
11. Ghosh, D. Polyspectral mean based time series clustering of Indian stock market. Discover Data 3, 10 (2025).
12. Ghosh, D., Boettcher, W. A., Johnston, R. & Lahiri, S. THANOS: A Predictive Model of Electoral Campaigns Using Twitter Data and Opinion Polls. Data Science in Science 4, 2484180 (2025).
13. Ghosh, D. & Luo, S. A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data. Journal of Multivariate Analysis 209, 105447 (2025). Article
14. Ghosh, D., Pal, S., Lutz, M., Luo, S. & ADNI. Ensemble survival analysis for preclinical cognitive decline prediction in Alzheimer’s disease using longitudinal biomarkers. Journal of Alzheimer’s Disease (2025).
15. Ghosh, D., Xu, X., Luo, S. & CPP Integrated Parkinson’s Database. Power and sample size calculation for multivariate longitudinal trials using the longitudinal rank sum test. Statistics in Medicine 44, e70261 (2025). PubMed
16. Mayan, I., Roth, H., Ghosh, D., Whitson, H. E. & Johnson, K. G. Genetic and biomarker disclosure process in a memory and aging study. Journal of Alzheimer’s Disease (2025).
17. Pal, S., Ghosh, D. & Yang, S. Penalized FCI for Causal Structure Learning in a Sparse DAG for Biomarker Discovery in Parkinson’s Disease. Annals of Applied Statistics, accepted/in press (2025). Preprint
18. Tushar, F. I., Vancoillie, L., McCabe, C., Kavuri, A., Dahal, L., Harrawood, B., Fryling, M., Zarei, M., Sotoudeh-Paima, S., Ho, F. C., et al. Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. Medical Image Analysis 103, 103576 (2025).
19. Xu, X., Ghosh, D., Luo, S. & CPP Integrated Parkinson’s Database. A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders. Statistics in Biopharmaceutical Research (2025). Article
20. McElroy, T. S., Ghosh, D. & Lahiri, S. Quadratic Prediction of Time Series via Auto-Cumulants. Sankhya A 86, 431–463 (2024).
21. Sotoudeh-Paima, S., Segars, W. P., Ghosh, D., Luo, S., Samei, E. & Abadi, E. A systematic assessment and optimization of photon-counting CT for lung density quantifications. Medical Physics 51, 2893–2904 (2024).
22. Tushar, F. I., Vancoillie, L., McCabe, C., Kavuri, A., Dahal, L., Harrawood, B., Fryling, M., Zarei, M., Sotoudeh-Paima, S., Ho, F. C., et al. Virtual NLST: towards replicating national lung screening trial. Medical Imaging 2024: Physics of Medical Imaging 12925, 442–447 (2024).

Under review / revision

1. Pal, S. & Ghosh, D. Network-aware IV Regression for Causal Node Discovery and Estimation. Major revision at JASA (2026). arXiv:2604.24969
2. Ghosal, R., Ghosh, D., Yue, Y. & Roy, A. Penalized Cox Regression with Graph-Structured Distribution-Valued Predictors. Submitted to JCGS (2026).
3. Ghosh, D. Spatiotemporal Characterization of Overdose Mortality in Georgia, USA Using Spectral and Nonlinear Interaction Analysis, 2003–2021. Third-round revision at Spatial and Spatio-temporal Epidemiology (2026). arXiv:2604.00353
4. Ghosh, D., Song, Z., Xiao, L. & Luo, S. A comprehensive goodness-of-fit test for covariance structures in multivariate longitudinal data. Submitted to Biometrics (2026).
5. † Jaeger, S., † Ibenye, C., † Vera-Jimenez, A. & Ghosh, D. Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning. Submitted to AJUR (2026). arXiv:2604.09960
6. Karami, A., Imran, M., Ghosh, D. & Carlisle, J. Predicting Areas at the Risk of Lung Cancer Based on Modifiable Risk Factors. Revised manuscript under review at JCO Clinical Cancer Informatics (2026).

Working papers

• † Shahid, I., Luo, S. & Ghosh, D. Longitudinal Rank-Sum Testing for incomplete clinical trials.
• † Vera-Jimenez, A., † Jaeger, S., † Ibenye, C. & Ghosh, D. Cross-Prompt Generalization in Detecting AI-Generated Fake News Using Interpretable Linguistic Features.
• Ghosh, D. & Lahiri, S. Subsampling and Convolved Bootstrap Inference for Polyspectral Means in Nonlinear Time Series.
• Ghosh, D. Nonparametric Global Tests for Longitudinal Treatment Effects Using Integrated Mean Curves.
• Ghosh, D. & Chakraborty, N. Geographic and Socioeconomic Inequality in High School Graduation Success Across the United States.
• Ghosh, D., Dahal, L., Vancoillie, L., Nejad, M. G., Samei, E., Luo, S. & Lo, J. SADDHU: Segmentation Anomaly Detection using Distribution based Holistic Unsupervised approach.
• Ghosh, D. & Luo, S. Residual LRST: Covariate-Adjusted Rank Inference for Longitudinal Data.
• Ghosh, D., Luo, S., Arbeev, K., Akushevich, I. & Yashin, A. A Holistic Assessment of Psychological and Cognitive Health in Aging Using Long Life Family Study Data.
• Ghosh, D. & Pal, S. Representation Learning for Causal Inference in Multimodal Repeated Cross-Sectional Surveys with Block-missingness.
• Olszewska, D. A., Ghosh, D., Dam, T., Simuni, T., Luo, S. & Marras, C. Performance of the Neuronal α-Synuclein Disease Integrated Staging System Framework for Parkinson’s Disease in the Critical Path for Parkinson’s Integrated Parkinson’s Disease Datasets.