Minimum Distance Estimation of Milky Way Model Parameters and Related Inference. - Sourabh Banerjee; Ayanendranath Basu; Sourabh Bhattacharya; Smarajit Bose; Dalia Chakrabarty; Soumendu Sundar Mukherjee (SIAM/ASA J. Uncertain. Quantification, 2015)

Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy. - Dalia Chakrabarty; Nare Gabrielyan; Fabio Rigat; Richard Beanland; Shashi Paul (Technometrics, 2015)

Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC. - Gargi Roy; Dalia Chakrabarty (ICONIP (4), 2022)

Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo. - Gargi Roy; Kane Warrior; Dalia Chakrabarty (EPIA (1), 2023)

Automated learning of gravitational mass of elliptical galaxies. - Dalia Chakrabarty (J. Frankl. Inst., 2023)

Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs. - Chuqiao Zhang; Crina Grosan; Dalia Chakrabarty (Artif. Intell. Medicine, 2024)

A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures. - Gargi Roy; Dalia Chakrabarty (CoRR, 2024)

Identifying critical residues of a protein using meaningfully-thresholded Random Geometric Graphs. - Chuqiao Zhang; Sarath Chandra Dantu; Debarghya Mitra; Dalia Chakrabarty (CoRR, 2025)