Staff Profile

Tathagata is a methodological statistician. His primary research is related to statistical modelling, robust Bayesian analysis, regression modelling, choice models, and random utility models. He is also interested in asymptotic analysis for set valued inference.

1. Regression Analysis
2. Statistical Regularisation
3. Classification Problems
4. Robust Bayesian Analysis
5. Choice Modelling
6. Random Utility Models
7. Asymptotic Analysis

• Articles

  • Basu T, Troffaes MCM. Robust Bayesian causal estimation for causal inference in medical diagnosis. International Journal of Approximate Reasoning 2025, 177, 109330.
  • Basu T, Troffaes MCM, Einbeck J. A Robust Bayesian Analysis of Variable Selection under Prior Ignorance. Sankhya A 2023, 85, 1014-1057.

• Book Chapters

  • Basu, T, Einbeck, J, Troffaes, MCM. Uncertainty Quantification in Lasso-Type Regularization Problems. In: Optimization Under Uncertainty with Applications to Aerospace Engineering. 2020.
  • Krpelik, D, Basu, T. Introduction to Imprecise Probabilities. In: Optimization Under Uncertainty with Applications to Aerospace Engineering. 2020.

• Conference Proceedings (inc. Abstracts)

  • Filippi G, Patelli E, Basu T, Personage B, Maddock C, Fossati M, Roper M, Vasile M. SHEPHERD: a digital blueprint for drone based logistic networks. In: 34th European Safety and Reliability Conference (ESREL 2024). 2024, Jagiellonian University, Cracow, Poland.
  • Fillipi G, Basu T, Patelli E, Vasile M, Fossati M. Risk and Reliability Analysis of a Drone Logistic Network for Healthcare System. In: 34th European Safety and Reliability Conference (ESREL 2024). 2024, Jagiellonian University, Cracow, Poland.
  • Filippi G, Basu T, Patelli E, Vasile M, Fossati M. Resilient Network Design for Health Care System. In: 10th International Workshop on Reliable Engineering Computing (REC 2024). 2024, Beijing, China.
  • Basu T. Regression Analysis with Missing Data Using Interval Imputation. In: Developments in Statistical Modelling: 38th International Workshop on Statistical Modelling (IWSM 2024). 2024, Durham, UK: Springer.
  • Basu T, Filippi G, Patelli E, Vasile M, Fossati M. Drone assisted emergency response model for Scotland. In: International Symposium on Reliability Engineering and Risk Management (ISRERM 2024). 2024, Hefei, China.
  • Basu T, Filippi G, Patelli E, Fossati M, Vasile M. Drone flight time estimation under epistemic uncertainty. In: European Safety and Reliability Conference (ESREL 2023). 2023, University of Southampton, UK.
  • Basu T, Troffaes MCM, Einbeck J. A Robust Bayesian Approach for Causal Inference Problems. In: 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023). 2023, Arras, France: Springer.
  • Basu T, Destercke S, Quost B. An Imprecise Label Ranking Method for Heterogeneous Data. In: Building Bridges between Soft and Statistical Methodologies for Data Science: 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022). 2022, Valladolid, Spain: Springer.
  • Basu T, Destercke S, Quost B. A Robust Bayesian Estimation Approach for the Imprecise Plackett–Luce Model. In: 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022). 2022, Milan, Italy: Springer.
  • Basu, T, Troffaes, MCM, Einbeck, J. Binary Credal Classification Under Sparsity Constraints. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2020). 2020.
  • Basu, T, Troffaes, MCM, Einbeck, J. Bayesian Adaptive Selection Under Prior Ignorance. 2020.
  • Basu T, Einbeck J, Troffaes MCM. A sensitivity analysis and error bounds for the adaptive lasso. In: International Workshop on Statistical Modelling (IWSM 2020). 2020.
  • Troffaes, MCM, Basu, T. A Cantelli-Type Inequality for Constructing Non-Parametric P-Boxes Based on Exchangeability. In: International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019). 2019.