Dr. Mandal develops robust statistical methods that focus on eliminating the effect of outliers in noisy data. His background involves robust inference, big data analysis, non-parametric statistics and biostatistics.

• Ph D in Statistics, Indian Statistical Institute (2010)
• MS in Statistics, Indian Statistical Institute (2005)

• Robust Density Power Divergence Estimates for Panel Data Models Annals of the Institute of Statistical Mathematics (2023), Abhijit Mandal, Beste Beyaztas, S. Bandyopadhyay.
• Robust LASSO and its Applications in Healthcare Data. Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo. Springer. (2023), Abhijit Mandal, Samiran Ghosh.
• Testing equality of multiple population means under contaminated normal model using the density power divergence. Entropy 24 9 (2022), Jagannath Das, Beste Hamiye Beyaztas, Maxwell K. Mac-Ocloo, Arunabha Majumdar, Abhijit Mandal.
• A Two Stage Adaptive Metropolis Algorithm Journal of Statistical Computation and Simulation (2022), Anirban Mondal, Kai Yin, Abhijit Mandal.
• Robust Inference Using the Exponential-Polynomial Divergence. Journal of Statistical Theory and Practice 15 (2021), Pushpinder Singh, Abhijit Mandal, Ayanendranath Basu.
• Robust Wald-type tests in GLM with random design based on minimum density power divergence estimators. Statistical Methods & Applications 30 3 (2021), Ayanendranath Basu, Abhik Ghosh, Abhijit Mandal, Nirian Martin, Leandro Pardo.
• An optimal test for the additive model with discrete or categorical predictors. Annals of the Institute of Statistical Mathematics 72 6 (2020), Abhijit Mandal.
• Stratified random sampling for dependent inputs in Monte Carlo simulations from computer experiments. Journal of Statistical Planning and Inference 205 (2020), Anirban Mondal, Abhijit Mandal.
• The correlation between saline infusion sonogram findings and histopathology in the management of intrauterine filling defects in infertile patients. Fertility and Sterility 114 3 (2020), Ramya Sethuram, Alexandra E. Flessel, Lina Fouad, Damla C. Gonullu, Abhijit Mandal, Sana Salih.
• A Robust Wald-Type Test for Testing the Equality of Two Means from Log-Normal Samples. Methodology and Computing in Applied Probability 21 1 (2019), Ayanendranath Basu, Abhijit Mandal, Nirian Martin, Leandro Pardo.
• The B-exponential divergence and its generalizations with applications to parametric estimation. Statistical Methods & Applications 28 2 (2019), Taranga Mukherjee, Abhijit Mandal, Ayanendranath Basu.
• Testing Composite Hypothesis Based on the Density Power Divergence. Sankhya B 80 2 (2018), Ayanendranath Basu, Abhijit Mandal, Nirian Martin, Leandro Pardo.

• Robust Estimation for the Function-On-Function Regression Model (2022), Volume Joint Statistical Meeting, Washington, D.C., Abhijit Mandal.
• Stratified random sampling for dependent inputs in Monte Carlo simulations from computer experiments (2022), Volume El Paso, Abhijit Mandal.
• Robust Density Power Divergence Estimates for Panel Data Models (2022), Volume Case Western Reserve University, Abhijit Mandal.
• Robust Variable Selection Criteria for the Penalized Regression (2021), Volume IISA conference, Abhijit Mandal.
• Robust Density Power Divergence Estimates for Panel Data Models (2021), Volume University of Maryland, Baltimore County, Abhijit Mandal.
• Robust Density Power Divergence Estimates for Panel Data Models (2021), Volume The 26th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, Abhijit Mandal.
• Penalized Variable Selection in the Presence of Outliers (2019), Volume Joint Statistical Meeting, Denver, CO, Abhijit Mandal.

• NIH R01: Benzene exposure promotes neuro-inflammation and metabolic dysregulation (Role: Co-I).
• Internal: Robust Variable Selection for High-dimensional Data (Role: PI)
• NIH R01: Interplay between hypoxia and oxidative phosphorylation in herpes stromal keratitis (Role: Statistician)