15 - Karimiezmareh, Z., & Mostafaiy, B. (2026). Zero-Inflated Two-Parameter Distribution for Modeling Overdispersed Count data. Journal of Data Science and Modeling, 123-142.
14 - HASAN, M. F., MOSTAFAIY, B., ABRAVESH, A., & ABAZARI, R. (2026). ROBUST ESTIMATION OF THE COVARIANCE FUNCTION FOR SPARSELY OBSERVED DATA. Journal of the Korean Society for Industrial and Applied Mathematics, 30(1), 15-34.
13 - Dawood, M. A., & Mostafaiy, B. (2025). On asymptotic properties of mean function estimator for sparse noise-contaminated data: MA Dawood, B. Mostafaiy. Ricerche di Matematica, 74(5), 2563-2583.
12 - Abdi, E., Latifi-Navid, S., Kholghi-Oskooei, V., Mostafaiy, B., Pourfarzi, F., & Yazdanbod, A. (2024). Roles of the lncRNAs MEG3, PVT1 and H19 tagSNPs in gastric cancer susceptibility. BMC cancer, 24(1), 1440.
11 - Correction to: Jayakumar, K., & Sankaran, K. K. (2019). Discrete Linnik Weibull distribution. Communications in Statistics—Simulation and Computation, 48 (10): 3092–117. (2024). Communications in Statistics - Simulation and Computation, 53(2), 1088–1089. https://doi.org/10.1080/03610918.2022.2032164
10 - Abdi, E., Latifi-Navid, S., Zahri, S., Mostafaiy, B., Yazdanbod, A., & Pourfarzi, F. (2023). Risk of gastric Cancer is highly dependent on type of First-Degree Family Member affected by Cancer: lessons from a High-Risk Population in Iran. Iranian journal of public health, 52(9), 2004.
9 - Mostafaiy, B. (2020). On estimation in varying coefficient models for sparse and irregularly sampled functional data. Communications in Statistics-Simulation and Computation, 51(3), 1030-1045.
8 - Abdi, E., Latifi-Navid, S., Zahri, S., Kholghi-Oskooei, V., Mostafaiy, B., Yazdanbod, A., & Pourfarzi, F. (2020). SNP-SNP interactions of oncogenic long non-coding RNAs HOTAIR and HOTTIP on gastric cancer susceptibility. Scientific Reports, 10(1), 16763.
7 - Abravesh, A., Ganji, M., & Mostafaiy, B. (2019). Estimation of reliability P (X> Y) for distributions with power hazard function based on upper record values. Mathematical Population Studies, 26(1), 27-46.
6 - Mostafaiy, B., Faridrohani, M. R., & Chenouri, S. (2019). Optimal estimation in functional linear regression for sparse noise‐contaminated data. Canadian Journal of Statistics, 47(4), 524-559.
5 - Abravesh, A., Ganji, M., & Mostafaiy, B. (2019). Classical and Bayesian estimation of stress-strength reliability in type II censored Pareto distributions. Communications in Statistics-Simulation and Computation, 48(8), 2333-2358.
4 - Latifi-Navid, H., Latifi-Navid, S., Mostafaiy, B., Jamalkandi, S. A., & Ahmadi, A. (2018). Pneumococcal disease and the effectiveness of the PPV23 vaccine in adults: a two-stage Bayesian meta-analysis of observational and RCT reports. Scientific reports, 8(1), 11051.
3 - Mostafaiy, B., & Faridrohani, M. R. (2017). Least Squares Parameter Estimation for Sparse Functional Varying Coefficient Model. Journal of Statistical Theory and Applications, 16(3), 337-344.
2 - Mostafaiy, B., Faridrohani, M. R., & Hosseininasab, S. M. E. (2016). An RKHS framework for sparse functional varying coefficient model. REVSTAT-Statistical Journal, 14(3), 311-325.
1 - Mostafaiy, B., & Faridrohani, M. R. (2015). Functional Varying Coefficient Model with Time-independent Covariate and Longitudinal Response. Journal of Data Science, 13(3), 443-456.