Publications:

1.  Soni,  R., Gajda, J., & Pathak, A. K. (2025). Iterated Tempered Stable Process. Statistics & Probability Letters, 226, 110499. 

2. Garg, S., Pathak, A. K., & Maheshwari, A. (2025). Tempered space-time fractional negative binomial process. Methodology and Computing in Applied Probability.

3.  Pathak, A. K., Arshad, M., J. Azhad, Q., & Ali, A. (2025). On Bivariate Generalized Lifetime Distribution. To appear in Communications in Statistics - Simulation and Computation.  

4. Ali, A.,  Pathak, A. K., Arshad, M., & Sheikhi, A. (2025). Copula-Based Estimation of Causal Effects in Multiple Linear and Path Analysis Models. Journal of Statistical Computation and Simulation, 95(3), 609–627. 

5. Pandey, A.K., Ali, A. & Pathak, A.K. (2025). On Generalized Transmuted Lifetime Distribution. Sankhya B, 87, 249-291.

6. Soni, R., &  Pathak, A. K. (2024). Generalized Fractional Risk Process. Methodology and Computing in Applied Probability, 26, 42 .

7. Soni, R., &  Pathak, A. K. (2024). Generalized Iterated Poisson Process and Applications.  Journal of Theoretical Probability, 37, 3216–3245 .

8. Soni, R., Pathak, A. K., Di Crescenzo, A., & Meoli, A. (2024). Bivariate Tempered Space-Fractional Poisson Process and Shock Models. Journal of Applied Probability,  61(4), 1485-1501 .

9. Ali, A.,  Pathak, A. K., Arshad, M., & Emura, T. (2024). Copula-Based Regression Estimation in the Presence of Outliers. To appear in Communications in Statistics - Simulation and Computation. 

10. Pathak, A. K., Arshad, M.,  Pandey, A. K., &  Ali, A. (2024). Record-based Transmuted Unit-Omega Distribution: different methods of estimation and applications.  To appear in REVSTAT.

11. Ali, A.,  Pathak, A. K., & Arshad, M. (2024). Parametric and semiparametric approaches for copula-based regression estimation. Hacettepe Journal of Mathematics and Statistics, 53, 1141-1157 .

12. Soni, R., Pathak, A. K., ,& Vellaisamy, P. (2024). A probabilistic extension of the Fubini polynomials. Bulletin of the Malaysian Mathematical Sciences Society, 47, 102. 

13. Soni, R., & Pathak, A. K. (2024). Generalized fractional negative binomial process. Statistics & Probability Letters, 207, 110021. 

14. Zachariah, S. G., Arshad, M., & Pathak, A. K. (2024). A new class of copulas having dependence range larger than FGM-type copulas. Statistics & Probability Letters, 206, 109988. 

15. Soni, R., Vellaisamy, P., & Pathak, A. K. (2024). A probabilistic generalization of the Bell polynomials. The Journal of Analysis, 32, 711-732. 

16. Sharma, V. K., Singh, S. V., & Pathak, A. K. (2024). A Bivariate Teissier Distribution: Properties, Bayes Estimation and Application. Sankhya A, 86, 67-92. 

17. Somnathan, A., Chaitra, G. B., Mangala, S., Pathak, A. K., & Patil, C. (2024).  Understanding the effectiveness of minimum support price policy on area, production and productivity of oilseed crops in India.  Journal of Farm Sciences, 37 (01), 72-79.

18. Zachariah, S. G., Arshad, M., & Pathak, A. K. (2024). A new family of copulas based on probability generating functions. Mathematica Slovaca, 74(4), 1039-1060. 

19. Arshad, M., Pathak, A. K., Azhad, Q. J., & Khetan, M. (2023). Modeling bivariate data using linear exponential and Weibull distributions as marginals. Mathematica Slovaca, 73(4), 1075–1096. 

20. Pathak, A. K., Arshad, M., J. Azhad, Q., Khetan, M., & Pandey, A. (2023). A novel bivariate generalized Weibull distribution with properties and applications.  American Journal of Mathematical and Management Sciences,  42,  279-306.

21. Arshad, M., J. Azhad, Q., Gupta, N., & Pathak, A. K. (2023). Bayesian inference of unit Gompertz distribution based on dual generalized order statistics. Communications in Statistics-Simulation and Computation, 52 (8):3657–3675.

22. Annan, E., Nguyen, U. S. D., Treviño, J., Wan Yaacob, W. F., Mangla, S., Pathak, A. K., ... & Haque, U. (2023). Moderation effects of serotype on dengue severity across pregnancy status in Mexico. BMC Infectious Diseases, 23(1), Article No.147.  

23. Pathak, A. K., & Vellaisamy, P. (2022). A bivariate generalized linear exponential distribution: properties and estimation. Communications in Statistics-Simulation and Computation, 51(9), 5426-5446. 

24. Arshad, M., Khetan, M., Kumar, V., & Pathak, A. K. (2022). Record-based transmuted generalized linear exponential distribution with increasing, decreasing and bathtub shaped failure rates. To appear in Communications in Statistics-Simulation and Computation. 

25. Abulebda, M., Pathak, A. K., Pandey, A., & Tyagi, S. (2022). On a Bivariate XGamma Distribution Derived from Copula. Statistica, 82 (1), 15-40. 

26. Pathak, A. K., & Arshad, M. (2022). Discussion on a new extension of the FGM copula with application in reliability. arXiv preprint arXiv:2203.11681. 

27. Arshad, M., Abdalghani, O., Meena, K. R., & Pathak, A. K. (2022). Estimation after selection from bivariate normal population with application to poultry feeds data. Hacettepe Journal of Mathematics and Statistics, 51 (4), 1141-1159. 

28. Mangla, S., Zohra Makkia, F. T., Pathak, A. K., Robinson, R., Sultana, N., Koonisetty, K. S., ... & Haque, U. (2021). COVID-19 vaccine hesitancy and emerging variants: evidence from six countries. Behavioral Sciences, 11 (11), 148. 

29. Mangla, S., Pathak, A. K., Arshad, M., & Haque, U. (2021). Short-term forecasting of the COVID-19 outbreak in India. International Health, 13(5), 410-420. 

30. Mangla, S., Pathak, A. K., Arshad, M., Ghosh, D., Sahoo, P. K., Garg, V. K., & Haque, U. (2021). Impact of environmental indicators on the COVID-19 pandemic in Delhi, India. Pathogens, 10(8), 1003. 

31. Sahoo, P. K., Chauhan, A. K., Mangla, S., Pathak, A. K., & Garg, V. K. (2021). COVID-19 pandemic: An outlook on its impact on air quality and its association with environmental variables in major cities of Punjab and Chandigarh, India. Environmental Forensics, 22 (1-2), 143-154. 

32. Sahoo, P. K., Mangla, S., Pathak, A. K., Salãmao, G. N., & Sarkar, D. (2021). Pre-to-post lockdown impact on air quality and the role of environmental factors in spreading the COVID-19 cases-a study from a worst-hit state of India. International Journal of Biometeorology, 65, 205-222. 

33. Pathak, A. K. (2018). A simple probabilistic proof for the alternating convolution of the central binomial coefficients. The American Statistician, 72 (3), 287-288. 

34. Pathak, A. K., & Vellaisamy, P. (2016). Various measures of dependence of a new asymmetric generalized Farlie–Gumbel–Morgenstern copulas. Communications in Statistics-Theory and Methods, 45(18), 5299-5317. 

35. Pathak, A. K., & Vellaisamy, P. (2016). A note on generalized Farlie-Gumbel-Morgenstern copulas. Journal of Statistical Theory and Practice, 10, 40-58.

36. Vellaisamy, P., & Pathak, A. K. (2014). Copulas and regression models. Journal of the Indian Statistics Association, 52, 113-134. 

Conference Papers/ Book Chapters:

1. Dixit, S., Khetan, M., Arshad, M., Verma, P., & Pathak, A. K. (2023). Continuous distributions. In Distribution Theory (pp. 107-149). Apple Academic Press. 

2. Pathak, A. K., Arshad, M., Bakshi, S., Khetan, M., and Mangla, S. (2023).  A new alpha power transformed Weibull distribution.  In G Families of Probability Distributions (pp. 302-315). CRC Press. 

3. Kaur, S., Kumar, A., and Pathak, A. K. (2022). A new computational procedure for the solution of the time-fractional advection problem. In AIP Conference Proceedings, volume 2451. AIP Publishing.

4. Abdalghani, O., Arshad, M., Meena, K., & Pathak, A. K. (2021). Adjusted Bias and Risk for Estimating Treatment Effect after Selection with an Application in Idiopathic Osteoporosis. Optimal Decision Making in Operations Research and Statistics: Methodologies and Applications, CRC Press.