Publication by area

Robust Inference and Asymptotic Theory

1. Robust Variable Selection Criteria for the Penalized Regression. Journal of Multivariate Analysis, 2025+ [arXiv] (accepted with S. Ghosh)

2. Robust Variable Selection in High-dimensional Nonparametric Additive Model. Annals of the Institute of Statistical Mathematics, 2025+ [arXiv] (with S.B. Chatla)

3. Robust Testing Based on Density Power Divergence for Comparing Multiple Means in the ANCOVA Model. Computational Statistics, 2025+ (accepted with B. Beyaztas)

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. 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)

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. 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, A. Basu)

10. 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, L. Pardo)

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

12. 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)

13. 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)

14. 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)

15. 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)

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

17. 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)

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

19. 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)

20. 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)

21. 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)

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

Functional Data Analysis

1. Spatial function-on-function regression. Journal of Agricultural, Biological, and Environmental Statistics, 2025+ (accepted with U. Beyaztas, H. L. Shang, G. B. Sezer, R. Zoh, and C. Tekwe)

2. Enhancing Spatial Functional Linear Regression with Robust Dimension Reduction Methods. Journal of Multivariate Analysis, 2024+ (accepted with U. Beyaztas and H. L. Shang)

3. Locally Sparse and Robust Partial Least Squares in Scalar-on-Function Regression. Statistics and Computing, Vol 34, 2024 (with S. Gurer, H. L. Shang and U. Beyaztas)

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

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

Nonparametric Statistics

1. Robust Variable Selection in High-dimensional Nonparametric Additive Model. Annals of the Institute of Statistical Mathematics, 2025+  (with S.B. Chatla)

2. 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]. 

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

Network Data Analysis

1. Understanding How Network Geometry Influences Diffusion Processes in Complex Networks: A Focus on Cryptocurrency Blockchains and Critical Infrastructure Networks. Journal of the Royal Statistical Society: Series A (JRSS A), 2025+ (accepted with S.M. Mustaquim and A.K. Dey)

Genetics (Big Data Analysis)

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

Variable Selection (Dimension Reduction)

1. Robust Variable Selection Criteria for the Penalized Regression. Journal of Multivariate Analysis, 2025+ [arXiv] (accepted with S. Ghosh)

2. Robust Variable Selection in High-dimensional Nonparametric Additive Model. Annals of the Institute of Statistical Mathematics, 2025+ [arXiv] (with S.B. Chatla)

3. 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, 2023 (with S. Ghosh)

MCMC Method

1. Stratified Random Sampling for Dependent Inputs in Monte Carlo Simulations from Computer Experiments. Journal of Statistical Planning and Inference, Vol. 205, 259-282, 2020 [arXiv]. (with A. Mondal)

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

Independent Component Analysis (signal Processing)

1. 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)

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

Latent Variable Analysis

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

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

Growth Model

1. 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)

Biomedical Research

1. Are There Racial and Ethnic Disparities in Sleep Problems Among People with Chronic Pain? Systematic Review and Meta-Analysis. Pain Medicine, 2025+ (accepted with J. Sakamoto,  D. A. Parish,  E. R. Rivas, C. Siengsukon and K. Aoyagi)

2. Relations of Social Determinants of Health to Pain and Function in Individuals with Knee Osteoarthritis in a Hispanic-dominant Community. Journal of Racial and Ethnic Health Disparities, 2025+ (accepted with K. Aoyagi, M. LaValley, T. Neogi, R. Edwards, R. Shababi, E. Rivas, S. Bajpeyi, E. Moya, and J. Lechuga)

3. Exploring Socio-Behavioral Correlates of Metabolic and Inflammatory Risk in a University Sample Residing Along the U.S./Mexico Border: A Pilot Study Concomitantly Collecting Survey Data, Blood and Hair Samples, and Physical Measures. Journal of Environmental Research and Public Health, Vol 22 (4), 2025  (with G. Frietze and others)

4. Microglia Mediate Metabolic Dysfunction from Common Air Pollutants through NF-κB Signaling, Diabetes (accepted with L. Debarba, H. Jayarathne, M. Sadagurski and others)

5. 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)