Academic Profile :

• 2012 – 2015, Ph.D. in Statistics (April, 2015), Indian Statistical Institute (ISI), Kolkata, India
  • Thesis: “Robust Minimum Divergence Inference using Density Power Divergence and its Extensions: Applications to Non-Identically Distributed Data and the Bayesian Paradigm”
  • Supervisor: Prof. Ayanendranath Basu

• 2010 – 2012, Master of Statistics (M.Stat.), Ranked 1^st, Indian Statistical Institute, Kolkata, India
• 2007– 2010, Bachelor of Statistics (B.Stat.), Ranked 3^rd, Indian Statistical Institute, Kolkata, India

Publications :

1. Book Chapter

1. Robust inference based on divergences in Reliability Systems (2013). Abhik Ghosh, Avijit Maji and Ayanendranath Basu. Applied Reliability Engineering and Risk Analysis – Probabilistic Models and Statistical Inference, 290-307, Ilia Frenkel, Alex, Karagrigoriou, Anatoly Lisnianski & Andre Kleyner, Eds. Dedicated to the Centennial of the birth of Boris Gnedenko, Wiley, NY, USA.

2. Peer-Reviewed Journal Publications/Accepted Papers

2. New robust statistical procedures for polytomous logistic regression models (2019+). Elena Castilla, Abhik Ghosh, Nirian Martin and Leandro Pardo. Biometrics, doi: 10.1111/biom.12890.
3. Robust Inference under the Beta Regression Model with Application to Health Care Studies (2019+). Abhik Ghosh. Statistical Methods in Medical Research, doi: 10.1177/0962280217738142.
4. Robust Statistical Inference Based on the C-Divergence Family (2019+).  Avijit Maji, Abhik Ghosh, Ayanendranath Basu and Leandro Pardo. Annals of Institute of Statistical Mathematics, doi: 10.1007/s10463-018-0678-5.
5. Power and Level Robustness of a Test for Composite Hypotheses under Independent Non-Homogeneous Data (2019). Abhik Ghosh and Ayanendranath Basu. Statistics and Probability Letters, doi: 10.1016/j.spl.2018.12.002.
6. A New Class of Robust Two-Sample Wald-Type Tests (2018). Abhik Ghosh, Nirian Martin, Ayanendranath Basu and Leandro Pardo. International Journal of Biostatistics, 14(2), 20170023.
7. Robust Bounded Influence Tests for Independent but Non-Homogeneous Observations (2018). Abhik Ghosh and Ayanendranath Basu. Statistica Sinica, 28, 1133 – 1155. [***]
8. A New Family of Divergences Originating from Model Adequacy Tests and Application to Robust Statistical Inference (2018). Abhik Ghosh and Ayanendranath Basu. IEEE Transactions on Information Theory, 64(8), 5581 – 5591. [***]
9. A Generalized Relative (α, β)-Entropy from Robust Statistical Divergence: Properties and Applications (2018). Abhik Ghosh and Ayanendranath Basu. Entropy, 20(5), 347.
10. Improvements in the Small Sample Efficiency of the Minimum S-Divergence Estimators under Discrete Models (2018). Abhik Ghosh and Ayanendranath Basu. Journal of Statistical Computation and Simulation, 88(3), 511 – 532.
11. Non-Concave Penalization in Linear Mixed-Effect Models and Regularized Selection of Fixed Effects (2018). Abhik Ghosh and Magne Thoresen. AStA Advances in Statistical Analysis, 102(2), 179 – 210.
12. Consumption of Fruitflow® lowers blood pressure in pre-hypertensive males: A randomized, placebo controlled, double blind, cross-over study (2018). Main Uddin, Dipankar Biswas, Abhik Ghosh, Niamh O’Kennedy and Asim K. Duttaroy. International Journal of Food Sciences and Nutrition, 69(4), 494 – 502.
13. Robust Wald-type tests for non-homogeneous observations based on minimum density power divergence estimator (2018). Ayanendranath Basu, Abhik Ghosh, Nirian Martin and Leandro Pardo. Metrika, 81(5), 493 – 522.
14. A Generalized Divergence for Statistical Inference (2017). Abhik Ghosh, Ian R. Harris, Avijit Maji, Ayanendranath Basu and Leandro Pardo. Bernoulli Journal, 23(4A), 2746 – 2783. [***]
15. A Wald-type test statistic for testing linear Hypothesis in logistic regression models based on minimum density power divergence estimator (2017). Ayanendranath Basu, Abhik Ghosh, Abhijit Mandal, Nirian Martin & Leandro Pardo. Electronic Journal of Statistics, 11, 2741-2772.
16. Robust and Efficient Parameter Estimation based on Censored Data with Stochastic Covariates (2017). Abhik Ghosh and Ayanendranath Basu. Statistics, 51(4), 801-823.
17. Divergence based Robust Estimation of the Tail Index with Exponential Regression Model (2017). Abhik Ghosh. Statistical Methods & Applications, 26(2), 181 – 213.
18. The Minimum S-Divergence Estimator in Continuous Models: The Basu-Lindsay Approach (2017). Abhik Ghosh and Ayanendranath Basu. Statistical Papers, 58(2), 341 – 372.
19. Testing Composite Null Hypotheses based on S-Divergences (2016). Abhik Ghosh and Ayanendranath Basu. Statistics and Probability Letters, 114, 38 – 47.
20. Influence Analysis of Robust Wald-type Tests (2016). Abhik Ghosh, Abhijit Mandal, Nirian Martin and Leandro Pardo. Journal of Multivariate Analysis, 147, 102 – 126.
21. The Logarithmic Super Divergence and Asymptotic Inference Properties (2016). Avijit Maji, Abhik Ghosh & Ayanendranath Basu. AStA Advances in Statistical Analysis, 100(1), 99 – 131.
22. Robust Bayes Estimation using the Density Power Divergence (2016). Abhik Ghosh and Ayanendranath Basu. Annals of Institute of Statistical Mathematics, 68(2), 413 – 437. [***]
23. Robust Estimation in Generalized Linear Models: The Density Power Divergence Approach (2016). Abhik Ghosh and Ayanendranath Basu. TEST, 25(2), 269 – 290.
24. Influence Function Analysis of the Restricted Minimum Divergence Estimators: A General Form (2015). Abhik Ghosh. Electronic Journal of Statistics, 9, 1017 – 1040.
25. On the robustness of a divergence based test of simple statistical hypotheses (2015). Abhik Ghosh, Ayanendranath Basu and Leandro Pardo. Journal of Statistical Planning and Inference, 161, 91–108.
26. Robust Estimation for Non-Homogeneous Data and the Selection of the Optimal Tuning Parameter: The DPD Approach (2015). Abhik Ghosh and Ayanendranath Basu. Journal of Applied Statistics, 42(9), 2056 – 2072.
27. Monte Carlo Comparison of Tests of Exponentiality against NWBUE Alternatives (2015). Md. Zafar Anis and Abhik Ghosh. Mathematics and Computers in Simulation, 115, 1 – 11.
28. Asymptotic Properties of Minimum S-Divergence Estimator for Discrete Models (2015). Abhik Ghosh. Sankhya A - The Indian Journal of Statistics, 77(2), 380 – 407.
29. Robust Estimation for Independent but Non-Homogeneous Observations using Density Power Divergence with application to Linear Regression (2013). Abhik Ghosh and Ayanendranath Basu. Electronic Journal of statistics, 7, 2420 – 2456. [***]
30. Consumer Expenditure Distribution in India, 1983-2007: Evidence of a Long Pareto Tail (2011). Abhik Ghosh, Kausik Gangopadhyay and Banasri Basu. Physica A-Statistical Mechanics and its Applications, 390(1), 83 – 97.
31. A Quantile-based method for association mapping of quantitative phenotypes: an application to rheumatoid arthritis phenotypes (2009). Saurabh Ghosh, Krishna R. Sanapala, Abhik Ghosh and Sujatro Chakladar. BMC Proceedings, 3(7), 2009: Genetic Analysis Workshop 16 (St Louis, MO, USA, September, 2008).  

3. Papers Under Review/Communicated

32. Ultrahigh-dimensional Robust and Efficient Sparse Regression using Non-Concave Penalized Density Power Divergence. Abhik Ghosh and Subhabrata Majumdar.
33. Robust Wald-Type Tests under Random Censoring with Applications to Clinical Trial Analyses. Abhik Ghosh, Ayanendranath Basu and Leandro Pardo
34. A General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications. Abhik Ghosh and Ayanendranath Basu.
35. A Scale-invariant Generalization of Renyi Entropy and Related Optimizations under Tsallis' Nonextensive Framework. Abhik Ghosh and Ayanendranath Basu.
36. Universal city-size distributions through rank ordering. Abhik Ghosh, Banasri Basu
37. Robust and Efficient Estimation in the Parametric Cox Regression Model under Random Censoring. Abhik Ghosh and Ayanendranath Basu.
38. Stable feature selection using copula.  Snehalika Lall, Abhik Ghosh, Debajyoti Sinha, Debarka Sengupta and Sanghamitra Bandyopadhyay.

4. ArXived Articles/Pre-prints/Work in progress

39. Estimating Copula and Test of Independence based on a generalized framework of all rank-based Statistics in Bivariate Sample. Abhik Ghosh and Aritra Chakravorty (2013, ArXived)
40. A Model Explaining Correlation between Observed Values in Contingency Tables. Abhik Ghosh, Samit Roy, Sujatro Chaklader (2013, ArXived)
41. The Logarithmic Super Divergence and its use in Statistical Inference. Avijit Maji, Abhik Ghosh and Ayanendranath Basu (2014, ArXived)
42. Robust Estimation of Bivariate Tail Dependence Coefficient. Abhik Ghosh. (2015, ArXived)
43. Robust Wald-type Test in GLM with Random Deign based on Minimum Density Power Divergence Estimators. Ayanendranath Basu, Abhik Ghosh, Abhijit Mandal, Nirian Martin and Leandro Pardo. (2018, ArXived)
44. Theoretical Properties of a New Weighted Likelihood Estimator for Right Censored Data. Adhidev Biswas, Pratim Guha Niyogi, Suman Majumder, Subir K. Bhandari, Abhik Ghosh and Ayanendranath Basu. (2018, ISI ISRU Technical report)
45. ROSeq: A rank based approach to modelling gene expression in single cells. Manan Lalit, Aditya Biswas, Abhik Ghosh and Debarka Sengupta. (2018, ArXived)

         E. Book Reviews

46. Reviews of the following books for International Society for Clinical Biostatistics Newsletters:
    • “Bayesian Regression Modeling with INLA” by X. Wang, Y. Yue and J. J. Faraway. [Vol. 67,  2019]
    • “Clinical Trial Data Analysis Using R & SAS” by D. Chen, K. E. Peace & P. Zhang. [Vol. 66,  2018]
    •  “Clinical Trial Biostatistics and Biopharmaceutical Applications”, Ed. by W.R. Young, D.(D.) Chen. [Vol. 65,  2018]
    •  “Statistical Learning from a Regression Perspective”, by R. A. Berk. [Vol. 64, 2017]
    • “Analysis of Mixed Data: Methods & Applications”, Ed. by A. R. de Leon and K. C. Chough [Vol. 62, 2016]