C. P. Yadav, A. Chakraborty, D. B. Price, L. H. M. Lim, Y.R. Juang, R. Beasley, M. Sadatsafavi, C. Janson, M. K. Siyue, E. Wang, M. E. Wechsler, D. J. Jackson, J. Busby, L. G. Heaney, P. E. Pfeffer, B. Mahboub, D. W. Perng, B. G. Cosio, L. Perez-de-Llano, R. Al-Lehebi, and W. Chen , Prediction pathway for severe asthma exacerbations: a Bayesian Network analysis, CHEST, (2025).
G. C. Y. Tan, Z. Wang, E. S. E Tan, R. J. M. Ong, P. E. Ooi, D. Lee, N. Rane, S. Y. X. Tey, S. Y. Chua, N. Goh, G. W. Lam, A. Chakraborty, A. K. L. Yew, S. K. Ong, J. L. Kee, X. Y. Lim, N. Hashim, S. H. Lu, M. Meany, S. Tolomeo, C. L. Asplund, H. M. Tan and J. Keppo, Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression, Frontiers in Neuroinformatics, Vol 17, (2024).
A. Chakraborty, D. J. Nott., C. Drovandi, D. T. Frazier and S. A. Sisson, Modularized Bayesian analysis and cutting feedback in likelihood-free inference, Statistics and Computing, 33, (2023).
A. Chakraborty, A., D. J. Nott, and M. Evans, Prior-data conflict checking and weakly informative priors for likelihood-free inference, Statistics and Its Interface, 16(3), 445-457, (2023).
A. Chakraborty, V. Chandru, V. and M. R. Rao, M.R., A linear programming primer: from Fourier to Karmarkar, Ann Oper Res, 287, 593–616 (2020).
A. Chakraborty, and V. Chandru, A Robust and Non-parametric Model for Prediction of Dengue Incidence, J Indian Inst Sci, 100, 893–899 (2020).