Research Interest

• Robust inference, Asymptotic theory, Functional data analysis, Nonparametric statistics, Big data analysis, Genetics, MCMC,​ Signal processing, Design of computer experiments. 

Grant

1. Benzene Exposure Promotes Neuro-inflammation And Metabolic Dysregulation. National Institutes of Health (NIH R01), 1R01ES033171-01A1, 2022 - 2027, Budget: $2,251,532. Role: Co-Investigator.

2. Robust Variable Selection for High-dimensional Data. University Research Grant (WSU), 2020, Budget: $10,000, Role: Principal Investigator.

3. Interplay between hypoxia and oxidative phosphorylation in herpes stromal keratitis. National Institutes of Health (NIH), 1R01EY029690, 2019 - 2021, Budget: $2,127,710, Role: Statistician.

Publication by Date [by Area] [Google Scholar]

1. Locally Sparse and Robust Partial Least Squares in Scalar-on-Function Regression. Statistics and Computing (accepted with S. Gurer, H. L. Shang and U. Beyaztas)

2. Robust Functional Logistic Regression. Advances in Data Analysis and Classification (accepted with B. Akturk, U. Beyaztas and H. L. Shang)

3. Robust Function-on-function Interaction Regression. Statistical Modelling (accepted with U. Beyaztas and H. L. Shang)

4. Robust Density Power Divergence Estimates for Panel Data Models. Annals of the Institute of Statistical Mathematics, Vol 75, 773-798, 2023  [arXiv] (with B.H. Beyaztas  and S. Bandyopadhyay)

5. A Two Stage Adaptive Metropolis Algorithm.  Journal of Statistical Computation and Simulation, Vol 93 (7), 1130-1150, 2023 [arXiv] (with A. Mondal and K. Yin)

6. Testing Equality of Multiple Population Means under Contaminated Normal Model Using the Density Power Divergence. Entropy, Vol. 29 (9), 1189, 2022 [Link] (with J. Das, B.H. Beyaztas, M.K. Mac-Ocloo and A. Majumdar) 

7. Robust Inference Using the Exponential-Polynomial Divergence. Journal of Statistical Theory and Practice, Vol. 15 (2), 1-22, 2021 [arXiv] (with P. Singh and A. Basu)

8. Robust Wald-type tests in GLM with random design based on minimum density power divergence estimators. Statistical Methods & Applications, Vol 30, 973-1005, 2021 [arXiv]. (with A. Basu, A. Ghosh, N. Martin and L. Pardo)

9. An Optimal Test for the Additive Model with Discrete or Categorical Predictors. Annals of the Institute of Statistical Mathematics, Vol. 72, 1397-1417, 2020 [arXiv]. 

10. Stratified Random Sampling for Dependent Inputs in Monte Carlo Simulations from Computer Experiments. Journal of Statistical Planning and Inference, Vol. 205, 269-282, 2020 [arXiv]. (with A. Mondal)

11. The correlation between saline infusion sonogram findings and histopathology in the management of intrauterine filling defects in infertile patients. Fertility and Sterility, Vol. 114(3), e266, 2020 [Link]. (with R. Sethuram,  A. E. Flessel, L. Fouad, D. C. Gonullu and S. Salih)

12. The B-Exponential Divergence and its Generalizations with Applications to Parametric Estimation. Statistical Methods & Applications, Vol. 28(2), 241-257, 2019 [arXiv]. (with T. Mukherjee and A. Basu)

13. A Robust Wald-Type Test for Testing the Equality of Two Means from Log-Normal Samples. Methodology and Computing in Applied Probability, Vol. 21, 85-107, 2019 [arXiv]. (with A. Basu, N. Martin and L. Pardo)

14. Density Power Divergence Tests for Composite Null Hypotheses. Sankhya, Series B, Vol. 80(2), 222--262, 2018 [arXiv]. (with A. Basu, N. Martin and L. Pardo)

15. A Wald-type test statistic for testing linear hypothesis in logistic regression models based on minimum density power divergence estimator. Electronic Journal of Statistics, Vol 11 (2), 2741-2772, 2017 [arXiv]. (with A. Basu, A. Ghosh, N. Martin and L. Pardo)

16. Influence Analysis of Robust Wald-type Tests. Journal of Multivariate Analysis, Vol. 147, 102-126, 2016 [arXiv]. (with A. Ghosh, N. Martin and L. Pardo)

17. Generalized Wald-type Tests based on Minimum Density Power Divergence Estimators. Statistics, Vol. 50, 1-26, 2016 [arXiv]. (with A. Basu, N. Martin and L. Pardo)

18. Robust tests for the equality of two normal means based on the density power divergence. Metrika, Vol. 78, 611-634, 2015 [arXiv]. (with A. Basu, N. Martin and L. Pardo)

19. Non-linear Canonical Analysis Using AB-divergence. Entropy, Vol. 15, 2788-2804, 2013 [Open Access]. (with A. Cichocki)

20. Minimum disparity estimation: Improved efficiency through inlier modification. Computational Statistics and Data Analysis, Vol. 64, 71-86, 2013 [Link]. (with A. Basu)

21. Testing Statistical Hypotheses based on the Density Power Divergence. Annals of the Institute of Statistical Mathematics, Vol. 65, 319-348, 2013 [Link]. (with A. Basu, N. Martin and L. Pardo)

22. Multinomial goodness-of-fit testing and inlier modification. Electronic Journal of Statistics, Vol. 5, 1846-1875, 2011 [Open Access]. (with A. Basu)

23. Deflation-based FastICA Reloaded. Proceedings of the 19th European Signal Processing Conference (EUSIPCO 2011), 1854-1858, 2011 [Link]. (with K. Nordhausen, P. Ilmonen, H. Oja and E. Ollila)

24. Minimum Disparity Estimation based on Combined Disparities: Asymptotic Results. Journal of Statistical Planning and Inference, Vol. 141, 701-710, 2011 [Link]. (with S. K. Bhandari and A. Basu)

25. Goodness-of-Fit Testing in Growth Curve Models: A General Approach based on Finite Differences. Computational Statistics and Data Analysis, Vol. 55, 1086-1098, 2011 [Link]. (with W. T. Huang, S. K. Bhandari and A. Basu)

26. Hypothesis Testing for two Discrete Populations based on the Hellinger Distance. Statistics and Probability Letters, Vol. 80, 206-214, 2010 [Link]. (with A. Basu and L. Pardo)

27. Minimum Disparity Inference and the Empty Cell Penalty: Asymptotic Results. Sankhya, Series A, Vol. 72, 376-406, 2010 [Link]. (with A. Basu and L. Pardo)

28. Independent Component Analysis (ICA) using Pearsonian Density Function. Lecture Notes in Computer Science, Vol. 5441, 74-81, 2009 [Link]. (with A. Chakraborty)

29. Minimum Hellinger Distance Estimation with Inlier Modification. Sankhya, Series B, Vol. 70, 310-322, 2008 [Link]. (with R. K. Patra and A. Basu)

Book Chapter

1. Robust LASSO and its Applications in Healthcare Data. Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo. Springer Series on Studies in Systems, Decision and Control, Vol 445. Springer, Cham., 2023 (with S. Ghosh)

2. Canonical Correlation. In International Encyclopedia of Education (Third Edition), Penelope Peterson, Eva Baker, and Barry McGaw Eds., Oxford: Elsevier, 2010. (with A. Basu)

Submitted Manuscript

1. Genome-wide Association Study Using an Additive Model [Preprint]. (with J. S. Pankow and S. Basu)

2. Robust Variable Selection in the Presence of Outliers based on Penalized Methods [arXiv]. (submitted with S. Ghosh)

3. A robust specification test in linear panel data models. [arXiv] (with B. H. Beyaztas and S. Bandyopadhyay)

Invited Colloquium

1. Robust Density Power Divergence Estimates for Panel Data Models. (2021), University of Maryland, Baltimore County, USA.

2. Robust Variable Selection for the Penalized Regression (2020). University of Texas at El Paso, USA.

3. Robust Variable Selection for the Penalized Regression (2020). University of Nevada at Reno, USA.

4. Robust Variable Selection for the Penalized Regression (2020). South Dakota State University, USA.

5. A Goodness-of-Fit Test for the Additive Model (2016). University of Missouri - Kansas City, USA.

6. An Optimal Test for the Additive Model (2016). University of Pittsburgh, Pittsburgh, USA.

7. Testing of Additive Components and its Application in Genome-wide Association Study (2016). Wayne State University, Detroit, USA.

8. Dimension Reduction using Divergence Measure (2014). The Institute of Statistical Mathematics (ISM), Tokyo, Japan.

9. Research, Teaching in Contribution to the Q-STEP Centre, (2014). Queen's University Belfast, Northern Ireland, UK.

10. Non-Linear Canonical Correlation Analysis (2013). Victoria University of Wellington, New Zealand.

11. Canonical Correlation Analysis using AB-divergence (2013). Indian Institute of Technology, Kanpur, India.

12. Use of Statistical Tools in Real Life Problems (2013). Haldia Government College, West Bengal, India.

13. Robust Testing based on Density Power Divergence (2012). University College Dublin, Dublin, Ireland.

14. Minimum Combined Disparity Estimation: Robustness and Efficiency (2010).  Aalto University, Finland.

Conference Presentation

1. Robust Estimation for the Function-On-Function Regression Model (2022). Joint Statistical Meeting, American Statistical Association, Washington, D.C., USA.

2. Robust Variable Selection Criteria for the Penalized Regression (2021). International Indian Statistical Association (IISA) Conference, online (invited session). 

3. Robust Density Power Divergence Estimates for Panel Data Models, (2021), The 26th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, USA.

4. Penalized Variable Selection in the Presence of Outliers (2019). Joint Statistical Meeting, American Statistical Association, Denver, Colorado, USA.

5. Robust Tests Using the Density Power Divergence (2017). Joint Statistical Meeting, American Statistical Association, Baltimore, Maryland, USA.

6. Robust Tests of Hypotheses: The Density Power Divergence Approach (2013). Statistics, Science, and Society: New Challenges and Opportunities, International Indian Statistical Association (IISA), Chennai, India.

7. Goodness-of-Fit Testing in Growth Curve Models: A General Approach based on Finite Differences (2007). International Indian Statistical Association (IISA) Joint Statistical Meeting and International Conference on Statistics, Probability and Related Areas, Cochin University of Science and Technology, Cochin, India.

8. Independent Component Analysis (ICA) using Pearsonian Density Function (2006). Sixth International Triennial Calcutta Symposium on Probability and Statistics, University of Calcutta and Calcutta Statistical Association, Kolkata, India.