Publications

Preprints (Under revision) : (PhD STUDENT (working under my supervision) : *, BS-MS/ MSc STUDENT (working under my supervision) : **)

1.  Kumar, S.* and Dhar, S. S. (2024+) A novel characterization of structures in smooth regression curves: from a viewpoint of persistent homology.  Under major revision, and the revised version will be submitted by the end of September 30, 2025. 

2. Guha Niyogi, P. and Dhar, S. S. (2025+) Identifying arbitrary transformation between the slopes in functional regression. Under major revision, and the revised version is being prepared. 

3. Bhar, S. and Dhar, S. S. (2025+) Co-variance Operator of Banach Valued Random Elements: U-Statistic Approach. Under "reject with resubmission" and the revised version is being prepared. 

LIST OF ARTICLES IN JOURNALS (PUBLISHED/ACCEPTED) : (PhD STUDENT (working under my supervision) : *, BS-MS/MSc STUDENT (working under my supervision) : **)

1. Kumar, S.* and Dhar, S. S. (2025+) Testing Homological Equivalence Using Betti Numbers : Probabilistic Properties. To appear in SIAM : Theory of Probability and Its Applications / Teoriya Veroyatnostei i ee Primeneniya (Russian version).  

2. Ghosh, S., Banerjee, M., Dhar, S. S., Mukhopadhyay, S. (2025) Estimation of time-varying recovery and death rates from epidemiological data: A new approach. Mathematical Biosciences, 387, 109479. 

3. (Invited article) Shukla, S.*, Dhar, S. S. and Shalabh (2025+) Applications of Nonlinear Tobit Models Under Endogeneity. To appear in Sankhya, Series B (Invited article in honour of Professor CR Rao).

4. (Invited article) Dhar, S. S., Shalabh, Aayush ** and Das, H. S.** (2025) A New Graphical Device based on Trimmed Mean. Journal of Statistical Research. (Invited article in honour of Professor A K Md E Saleh), 59, 9-30. 

5. Shalabh, Dhar, S. S. and Rajeshbhai, S. P. ** (2024+) Statistical Data-Driven Modelling and Forecasting: An Application to COVID-19 Pandemic. To appear in Annals of Data Science.

6. Bagchi, P.  and Dhar, S. S. (2024) Characterization of the least squares estimator : mis-specified multivariate isotonic regression model with dependent error. AMS :Theory of Probability and Mathematical Statistics / Teoriya Veroyatnosteĭ i Matematicheskaya Statistika (Russian version) , 110, 143--158

7. Dhar, S. S. and Wu, W. (2023) Comparing time varying regression quantiles under shift invariance. Bernoulli, 29, 1527--1554.

8. Dhar, S. S. and Shalabh. (2022) GIVE Statistic for Goodness of Fit in Instrumental Variables Models with Application to COVID Data. Nature Scientific Reports. 12, Article number : 9472. .

9. (Invited article) Dhar, S. S., Chatterjee, U.** (not affiliated with IIT Kanpur)  and Shalabh (2022) A Note on Asymptotic Distribution of Trimmed mean. Journal of the Indian Society for Probability and Statistics (Invited article for the special issue of the 40th Convention of ISPS), 23, 327--335.

10. Dhar, S. S., Jha, P. * and Rakshit, P.  ** (2022) The Trimmed Mean in Non-parametric Regression Function Estimation. AMS : Theory of Probability and Mathematical Statistics / Teoriya Veroyatnosteĭ i Matematicheskaya Statistika (Russian version), 107, 133--158.
    

11. (Invited article) Shalabh and Dhar, S. S. (2021) Goodness of Fit in Non-parametric Regression Modelling. Journal of Statistical Theory and Practice. (Invited article for the special issue dedicated to Professor C.R. Rao on “Celebrating the Centenary of Professor C R Rao”), 15, Article number : 18.
    

12. Dette, H., Dhar, S. S. and Wu, W. (2021) Identifying Shifts between Two Regression Curves. Annals of the Institute of Statistical Mathematics, 73, 855–889.
    

13. Dhar, S. S. and Das, U. (2021) On distance based goodness of fit Tests for missing data when missing occurs at random. Australian & New Zealand Journal of Statistics, 63, 331–356.
    

14.  Bagchi, P. and Dhar, S. S. (2020) A Study on the Least Squares Estimator of Multivariate Isotonic Regression Function. Scandinavian Journal of Statistics, 47, 1192–1221.
    

15. Chakraborty, C. * and Dhar, S. S. (2020) A Test for Multivariate Location Parameter in Elliptical Model based on Forward Search Method. Sankhya, Series A, 82, 68–95.
    

16. Dhar, S. S., Kundu, D. and Das, U. (2019) Tests for the Parameters of Chirp Signal Model. IEEE Transactions on Signal Processing, 67, 4291–4301.
    

17. Dutta, D. **, Dhar, S. S. and Mitra, A. (2019) On Quantile Estimator in Volatility Model with Non- negative Error Density and Bayesian Perspective. Advances in Econometrics, 40B, 193–210.
    

18. Dhar, S. S., Bergsma, W. and Dassios, A. (2018) Testing Independence of Covariates and Errors in Nonparametric Regression. Scandinavian Journal of Statistics, 45, 421–443.
    

19. Trafimow, D., Amrhein, V., Areshenko C. N., Barrera-Causil, C., Beh, E. J., Bilgi, Y., Bono, R., Bradley, M. T., Briggs, W. M., Cepeda-Freyre, H. A., Chaigneau, S. E., Ciocca, D. R., Correa, J. C., Cousineau, D., de Boer, M. R., Dhar, S. S., Dolgov, I., Gmez-Benito, J., Grendar, M., Grice, J., Guerrero-Gimenez, M. E., Gutirrez, A., Huedo-Medina, T. B., Jae, K., Janyan, A., Karimnezhad, A., Korner- Nievergelt, F., Kosugi, K., Lachmair, M., Ledesma, R., Limongi, R., Liuzza, M. T., Lombardo, R., Marks, M., Meinlschmidt, G., Nalborczyk, L., Nguyen, H. T., Ospina, R., Perezgonzalez, J. D., Pfister, R., Rahona, J. J., Rodrguez-Medina, D. A., Romo, X., Ruiz-Fernndez, S., Suarez, I., TegethoM., Tejo, M., van de Schoot, R., Vankov, I., Velasco-Forero, S., Wang, T., Yamada, Y., Zoppino, F. C. M., and Marmolejo-Ramos, F. (2018) Manipulating the Alpha Level Cannot Cure Significance Testing. Frontiers in Psychology, 9, Article 699.
    

20. Das, U., Dhar, S. S. and Pradhan, V. (2018) Lilelihood Ratio Tests in Logistic Regression for Separated Data. Communication in Statistics: Theory and Methods, 47, 4272–4285.
    

21. Møllersen, K., Dhar, S. S. and Godtliebsen, F. (2016) On Desirable Properties for Density Based Dissimilarity Measures in Hybrid Clustering. Applied Mathematics, 7, 1674–1706.
    

22. Dhar, S. S., Dassios, A. and Bergsma, W. (2016) A Study of the Power and Robustness of a New Test for Independence against Contiguous Alternatives. Electronic Journal of Statistics, 10, 330–351.
    

23. Dhar, S. S. (2016) Trimmed Mean Isotonic Regression. Scandinavian Journal of Statistics, 43, 202–212.
    

24. Dhar, S. S., Chakraborty, B. and Chaudhuri, P. (2014) Comparison of Multivariate Distributions Using Quantile-Quantile Plots and Related Tests. Bernoulli, 20, 1484–1506.
    

25. Dhar, S. S. and Chaudhuri, P. (2012) On the Derivatives of the Trimmed Mean. Statistica Sinica, 22, 655-679.
    

26. Dhar, S. S. and Chaudhuri, P. (2011) On Statistical Efficiency of Robust Estimators of Multivariate Location. Statistical Methodology, 8, 113–128.
    

27. Dhar, S. S. and Chaudhuri, P. (2009) A Comparison of Robust Estimators Based on Two Types of Trimming. Advances in Statistical Analysis, 93, 151–158.
    

BOOK CHAPTERS (PEER REVIEWED) (PhD STUDENT (working under my supervision) : *, BS-MS/MSc STUDENT (working under my supervision) : **)

1. Shalabh, Dhar, S. S.  and Das, H.S. ** (2025+) Data Visualization in Data Science. in Data Science and Statistical Modeling in Business, Editors: Raghu Nandan Sengupta, Bhaskar Basu, Jitendra Kumar Jha and Indrajit Mukherjee, Springer.  (Invited article)

2. Dhar, S. S. and Shalabh (2024+) M-Estimation of Functional Regression Operator with Response Missing at Random. Optimization and Computing using Intelligent Data-Driven Approaches for Decision Making, Editors: Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji, Harish Garg, 

Taylor’s & Francis, CRC Press. (Invited article)

3.  Shalabh and Dhar, S. S.  (2024+) Data Analytics with R - A Motivational Foundation and Beginning. Accepted in Recent Advances in Simulation and Modelling, Editors: Mohd. Arshad, Mukti Khetan, Ashok Kumar Pathak, Fozia Homa, Taylor's & Francis, CRC Press. (Invited article)

4. Shalabh, Dhar, S. S. and Garg, G. (2023+) Robust Measures of Goodness of Fit and Outlier Detection in Linear Regression Models. Accepted in Statistical Outliers and Related Topics. Taylor’s & Francis, CRC Press. (Invited article)

5. Shukla, S.* , Dhar, S. S. and Shalabh (2023) Regression Modelling Under Lp-Norm Loss Function. Accepted in Advances in Mathematics Research, Nova Science Publishers. (Invited article)

6. Dhar, S. S., Shalabh, Jha, P.* and Acharrya, A.** (2023) Variable Selection in Multiple Nonparametric Regression Modelling. (In Press)In: Sandeep Singh, Aliakbar Montazer Haghighi and Sandeep Dalal (eds) Advanced Mathematical Techniques Applicable in Computational and Intelligent Systems, Taylor’s & Francis, CRC Press. (Invited article)

7. Shalabh, Dhar, S. S., Chakraborty, C.*  and Jha, P.*  (2023) Goodness of Fit Based and Variable Selection  in Non-parametric Measurement Error Model. Provisionally accepted in In: Chadra Sekhar and Raghaw Raman Sinha (eds) Statistical Modeling and Applications on Real-Time Problems, Taylor’s & Francis, CRC Press. (Invited article)

8. Shalabh and Dhar, S. S. (2023) Testing the Goodness of Fit in Instrumental Variables Models. In: Recent Advances in G Families of Probability Distributions, Editors: Mir Masoom Al, Irfan Ali, Haitham M. Youso and Mohamed Ibrahim, Taylor’s & Francis, CRC Press. (Invited article)

9. Shalabh, Dhar, S. S. and Balakrishna, N. (2021) Goodness of Fit in Parametric and Non-parametric Econometric Models. In: Cardenas-Barron L. E., Ahmed A., Ali I. and Shaikh A A. (eds) Optimal decision making in operations research & Statistics: methodologies and applications. Taylor & Francis, CRC Press.  68--90 (Invited article)
   

10. Shalabh and Dhar, S. S. (2020) Statistical Modelling and Variable Selection in Climate Science. In: Roy N., Roychoudhury S., Nautiyal S., Agarwal S., Baksi S. (eds) Socio-economic and Eco-biological Dimensions in Resource use and Conservation. Environmental Science and Engineering. Springer, Cham, 351–378. (Invited article)
    

NON PEER REVIEWED TECHNICAL REPORTS 

1.  Rajeshbhai, S. P. **, Dhar, S. S. and Shalabh (2022) Fourth Wave of COVID-19 in India : Statistical Forecasting. https://www.medrxiv.org/content/10.1101/2022.02.23.22271382v1

2.  Rajeshbhai, S. P. ** , Dhar, S. S. and Shalabh (2021) Statistical Forecasting : Third Wave of COVID-19-With an Application to India. https://www.medrxiv.org/content/10.1101/2021.12.20.21268150v1