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 :

* Graduate/Masters/Research students working under my (or other coauthor’s) supervision at the time of the work.  (†)  Author list is in alphabetical order of Surnames (as per the requirement from co-authors and/or their institute)

Book Chapters

1. Robustness Concerns in High-dimensional Data Analysis and Potential Solutions (2021+). Abhik Ghosh. To appear in Big Data Analytics in Chemoinformatics and Bioinformatics (with applications to computer-aided drug design, cancer biology, emerging pathogens and computational toxicology), S. C. Basak and M. Vracko, Eds., Elsevier.
2. On Entropy based Diversity Measures: Statistical Efficiency and Robustness Considerations (2021+). Abhik Ghosh and Ayanendranath Basu. To appear Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo, N. Balakrishnan, M. Á. Gil, N. Martín, D. Morales, M. C. Pardo, Eds., Springer.
3. 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, I. Frenkel, A. Karagrigoriou, A. Lisnianski and A. Kleyner, Eds. Dedicated to the Centennial of the birth of Boris Gnedenko, Wiley, NY, USA.

Peer-Reviewed Journal Publications/Accepted Papers

1. A robust variable screening procedure for ultra-high dimensional data (2021+). Abhik Ghosh and Magne Thoresen. Statistical Methods in Medical Research, doi: 10.1177/09622802211017299.
2. Robust Parametric Inference for Finite Markov Chains (2021+). Abhik Ghosh, TEST, doi: 10.1007/s11749-021-00771-1.
3. A Robust Generalization of the Rao Test (2021+). Ayanendranath Basu, Abhik Ghosh, Nirian Martin and Leandro Pardo. Journal of Business & Economic Statistics, doi: 10.1080/07350015.2021.1876711 (†)
4. Robust Inference for Skewed data in Health Science (2021+). Amarnath Nandy*, Ayanendranath Basu and Abhik Ghosh. Journal of Applied Statistics, doi: 10.1080/02664763.2021.1891527.
5. Robust semiparametric inference for polytomous logistic regression with complex survey design (2021+). Elena Castilla*, Abhik Ghosh, Nirian Martin and Leandro Pardo. Advances in Data Analysis and Classification, doi: 10.1007/s11634-020-00430-7. (†)
6. General Robust Bayes Pseudo-Posteriors: Exponential Convergence results with Applications (2021+). Abhik Ghosh, Tuhin Majumder* and Ayanendranath Basu. Statistica Sinica, doi: 10.5705/ss.202019.0450.
7. Robust Estimation of Pareto-Type Tail Index through an Exponential Regression Model (2021+). Richard Minkah, Tertius de Wet and Abhik Ghosh. Communications in Statistics - Theory and Methods, doi: 10.1080/03610926.2021.1916530.
8. Consistent Fixed-Effect Selection in Ultra-high dimensional Linear Mixed Models with Error-Covariate Endogeneity (2021). Abhik Ghosh and Magne Thoresen. Statistica Sinica, doi: 10.5705/ss.202019.0421.
9. Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data (2021). Krishan Gupta*, Manan Lalit*, Aditya Biswas*, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Gaurav Ahuja, Abhik Ghosh and Debarka Sengupta. Genome Research, 31 (Apr.), 689 – 697.
10. Robust Wald-Type Tests under Random Censoring (2021). Abhik Ghosh, Ayanendranath Basu and Leandro Pardo. Statistics in Medicine, 40(5), 1285–1305.
11. Robust Generalized Quadratic Discriminant Analysis (2021). Abhik Ghosh, Rita SahaRay, Sayan Chakraborty* and Sayan Bhadra*. Pattern Recognition, 117 (Sept.), 107981.
12. Stable Feature Selection using Copula based Mutual Information (2021). Snehalika Lall*, Debajyoti Sinha, Abhik Ghosh, Debarka Sengupta and Sanghamitra Bandyopadhyay. Pattern Recognition, 112 (Apr.), 107697.
13. A Scale-Invariant Generalization of the Rényi Entropy, Associated Divergences and Their Optimizations Under Tsallis’ Nonextensive Framework (2021). Abhik Ghosh and Ayanendranath Basu. IEEE Transactions on Information Theory, 67(4), 2141 - 2161.
14. Maximum Entropy Framework for a Universal Rank Order distribution with Socio-economic Applications (2021). Abhik Ghosh, Preety Shreya* and Banasri Basu. Physica A-Statistical Mechanics and its Applications, 563 (Feb.), 125433.
15. Robust Wald-type Test in GLM with Random Design based on Minimum Density Power Divergence Estimators (2021+). Ayanendranath Basu, Abhik Ghosh, Abhijit Mandal, Nirian Martin, Leandro Pardo. Statistical Methods & Applications, doi: 10.1007/s10260-020-00544-4. (†)
16. A non-parametric two-sample test using a general φ-divergence based mutual information (2021). Apratim Guha, Atanu Biswas and Abhik Ghosh. Statistica Neerlandica, 75(2), 180 – 202.
17. Ultrahigh-dimensional Robust and Efficient Sparse Regression using Non-Concave Penalized Density Power Divergence (2020). Abhik Ghosh and Subhabrata Majumdar. IEEE Transactions on Information Theory, 66(12), 7812-7827.
18. Comments on “On Active Learning Methods for Manifold Data" (2020). Abhik Ghosh. TEST, 29, 34 – 37 (Invited discussion).
19. Robust and Efficient Estimation in the Parametric Proportional Hazards Model under Random Censoring (2019). Abhik Ghosh and Ayanendranath Basu. Statistics in Medicine, 38 (27), 5283 – 5299.
20. Robust Inference under the Beta Regression Model with Application to Health Care Studies (2019). Abhik Ghosh. Statistical Methods in Medical Research, 28(3), 871 – 888.
21. Robust Statistical Inference Based on the C-Divergence Family (2019).  Avijit Maji*, Abhik Ghosh, Ayanendranath Basu and Leandro Pardo. Annals of the Institute of Statistical Mathematics, 71(5), 1289 – 1322.
22. Universal city-size distributions through rank ordering (2019). Abhik Ghosh and Banasri Basu. Physica A-Statistical Mechanics and its Applications, 528, 121094.
23. 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, 148, 35 – 42.
24. New robust statistical procedures for polytomous logistic regression models (2018). Elena Castilla*, Abhik Ghosh, Nirian Martin and Leandro Pardo. Biometrics, 74(4), 1282 – 1291. (†)
25. A New Class of Robust Two-Sample Wald-Type Tests (2018). Abhik Ghosh, Nirian Martin, Ayanendranath Basu, Leandro Pardo. International Journal of Biostatistics, 14(2), 20170023.
26. Robust Bounded Influence Tests for Independent but Non-Homogeneous Observations (2018). Abhik Ghosh and Ayanendranath Basu. Statistica Sinica, 28, 1133 – 1155.
27. 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.
28. A Generalized Relative (α, β)-Entropy from Robust Statistical Divergence: Properties and Applications (2018). Abhik Ghosh and Ayanendranath Basu. Entropy, 20(5), 347.
29. 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.
30. 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.
31. 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. (†)
32. 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.
33. 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.
34. 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. (†)
35. Robust and Efficient Parameter Estimation based on Censored Data with Stochastic Covariates (2017). Abhik Ghosh and Ayanendranath Basu. Statistics, 51(4), 801-823.
36. Divergence based Robust Estimation of the Tail Index with Exponential Regression Model (2017). Abhik Ghosh. Statistical Methods & Applications, 26(2), 181 – 213.
37. The Minimum S-Divergence Estimator in Continuous Models: The Basu-Lindsay Approach (2017). Abhik Ghosh and Ayanendranath Basu. Statistical Papers, 58(2), 341 – 372.
38. Testing Composite Null Hypotheses based on S-Divergences (2016). Abhik Ghosh and Ayanendranath Basu. Statistics and Probability Letters, 114, 38 – 47.
39. Influence Analysis of Robust Wald-type Tests (2016). Abhik Ghosh, Abhijit Mandal, Nirian Martin and Leandro Pardo. Journal of Multivariate Analysis, 147, 102 – 126. (†)
40. The Logarithmic Super Divergence and Asymptotic Inference Properties (2016). Avijit Maji*, Abhik Ghosh & Ayanendranath Basu. AStA Advances in Statistical Analysis, 100(1), 99 – 131.
41. Robust Bayes Estimation using the Density Power Divergence (2016). Abhik Ghosh and Ayanendranath Basu. Annals of the Institute of Statistical Mathematics, 68(2), 413 – 437.
42. Robust Estimation in Generalized Linear Models: The Density Power Divergence Approach (2016). Abhik Ghosh and Ayanendranath Basu. TEST, 25(2), 269 – 290.
43. Influence Function Analysis of the Restricted Minimum Divergence Estimators: A General Form (2015). Abhik Ghosh. Electronic Journal of Statistics, 9, 1017 – 1040.
44. 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.
45. 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.
46. 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.
47. Asymptotic Properties of Minimum S-Divergence Estimator for Discrete Models (2015). Abhik Ghosh. Sankhya A - The Indian Journal of Statistics, 77(2), 380 – 407.
48. 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.
49. 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.
50. 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).  

Papers Under Review/Communicated

51. Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models. Amarnath Nandy*, Abhik Ghosh, Ayanendranath Basu, Leandro Pardo.
52. Robust adaptive variable selection in ultra-high dimensional regression models. Abhik Ghosh, Maria Jaenada* and Leandro Pardo.
53. Robust sure independence screening for non-polynomial dimensional generalized linear models. Abhik Ghosh, Erica Ponzi, Torkjel Sandanger and Magne Thoresen.
54. Robust Clustering with Normal Mixture Models: A Pseudo β-Likelihood Approach. Soumya Chakraborty*, Ayanendranath Basu, Abhik Ghosh.
55. Robust estimation under linear mixed models: the minimum density power divergence approach. Giovanni Saraceno*, Abhik Ghosh, Ayanendranath Basu and Claudio Agostinelli.
56. On regularization methods based on Renyi's pseudodistances for sparse high-dimensional linear regression models. Elena Castilla*, Abhik Ghosh, Maria Jaenada* and Leandro Pardo. (†)
57. On Robustness of Statistical Inference based on the Logarithmic Super Divergence Family. Avijit Maji, Abhik Ghosh and Ayanendranath Basu.
58. Strata-based Quantification of Distributional Uncertainty in Socio-Economic Indicators: A Comparative Study of Indian States. Abhik Ghosh, Olivia Mallick*, Souvik Chatterjee*, and Banasri Basu.
59. Robust statistical modeling of monthly rainfall: The minimum density power divergence approach. Arnab Hazra and Abhik Ghosh
60. Optimal Guessing under Nonextensive Framework and associated Moment Bounds. Abhik Ghosh
61. Copula based Unsupervised Gene Selection for Single-cell RNA seq Data. Snehalika Lall*, Abhik Ghosh, Chitrita Goswami*, Smriti Chawla*, Priyadarshini Rai*, Gaurav Ahuja, Sumanta Ray, Sanghamitra Bandyopadhyay and Debarka Sengupta.
62. sc-REnF: An entropy guided robust feature selection for clustering of single-cell RNA-seq data. Snehalika Lall*, Abhik Ghosh, Sumanta Ray and Sanghamitra Bandyopadhyay.
63. RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data. Erica Ponzi, Magne Thoresen, and Abhik Ghosh (R package available in CRAN at https://CRAN.R-project.org/package=RaJIVE)

ArXived Articles/Pre-prints/Work in progress

64. 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)
65. A Model Explaining Correlation between Observed Values in Contingency Tables. Abhik Ghosh, Samit Roy, Sujatro Chaklader (2013, ArXived)
66. The Logarithmic Super Divergence and its use in Statistical Inference. Avijit Maji, Abhik Ghosh and Ayanendranath Basu (2014, ArXived)
67. Robust Estimation of Bivariate Tail Dependence Coefficient. Abhik Ghosh. (2015, ArXived)
68. 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)
69. On Robust Pseudo-Bayes Estimation for the Independent Non-homogeneous Set-up. Tuhin Majumder*, Ayanendranath Basu and Abhik Ghosh. (2019, ArXived)
70. Prediction of serum triglyceride changes using fasting gene expression in peripheral blood mononuclear cells. Amanda Rundblad, Abhik Ghosh, Kirsten B Holven, Inger Ottestad, Mari C W Myhrstad, Magne Thoresen and Stine Marie Ulven.
71. On Efficient Computation of the Robust Minimum Density Power Divergence Estimators using Prior Based Optimization Routine. Priyam Das, Debsurya De*, and Abhik Ghosh
72. Robust Estimation of Average Treatment Effects from Panel Data. Sayoni Roychowdhury*, Indrila Ganguly* and Abhik Ghosh.
73. A Robust and Efficient Differentially Expressed Gene Detector for microarray data modelled by Skew-normal distributions. Amarnath Nandy* and Abhik Ghosh
74. Robust and Efficient Parameter Estimation for Discretely Observed Stochastic Processes. Rohan Hore* and Abhik Ghosh.
75. Estimation and model selection via Hyvarian score. Abhik Ghosh and Nils Hjort.

Book Reviews

76. 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].