| Poisson–Lindley INAR (1) model with applications M Mohammadpour, HS Bakouch, M Shirozhan | 42 | 2018 |
| A zero-inflated geometric INAR (1) process with random coefficient HS Bakouch, M Mohammadpour, M Shirozhan Applications of Mathematics 63, 79-105, 2018 | 17 | 2018 |
| A time series model based on dependent zero inflated counting series N Shamma, M Mohammadpour, M Shirozhan Computational Statistics 35, 1737-1757, 2020 | 14 | 2020 |
| A new geometric INAR (1) model with mixing Pegram and generalized binomial thinning operators M Shirozhan, M Mohammadpour, HS Bakouch Iranian Journal of Science and Technology, Transactions A: Science 43, 1011-1020, 2019 | 13 | 2019 |
| A new class of INAR (1) model for count time series M Shirozhan, M Mohammadpour Journal of Statistical Computation and Simulation 88 (7), 1348-1368, 2018 | 11 | 2018 |
| Moving average representations for multivariate stationary processes AR Soltani, M Mohammadpour Journal of Time Series Analysis 27 (6), 831-841, 2006 | 9 | 2006 |
| Estimation and reconstruction based on left censored data from Pareto model A Asgharzadeh, M Mohammadpour, ZM Ganji Journal of the Iranian Statistical Society 13 (2), 151-175, 2022 | 7 | 2022 |
| An INAR (1) model based on the Pegram and thinning operators with serially dependent innovation M Shirozhan, M Mohammadpour Communications in Statistics-Simulation and Computation 49 (10), 2617-2638, 2020 | 7 | 2020 |
| Forward moving average representation in multivariate MA (1) processes M Mohammadpour, AR Soltani Communications in Statistics—Theory and Methods 39 (4), 729-737, 2010 | 6 | 2010 |
| A dependent counting INAR model with serially dependent innovation M Shirozhan, M Mohammadpour Journal of Applied Statistics 48 (11), 1975-1997, 2021 | 5 | 2021 |
| An integer-valued bilinear time series model via two random operators M Mohammadpour, HS Bakouch, S Ramzani Mathematical and Computer Modelling of Dynamical Systems 25 (4), 429-446, 2019 | 4 | 2019 |
| Time domain interpolation algorithm for innovations of discrete time multivariate stationary processes AR Soltani, M Mohammadpour Stochastic analysis and applications 27 (2), 317-330, 2009 | 3 | 2009 |
| Forward moving average representations for MA processes of finite order: Multivariate stationary and periodically correlated M Mohammadpour, AR Soltani Communications in Statistics-Theory and Methods 43 (1), 141-150, 2014 | 2 | 2014 |
| Alternative procedures in dependent counting INAR process with application on COVID-19 N Shamma, M Mohammadpour Communications in Statistics-Simulation and Computation 52 (11), 5381-5395, 2023 | 1 | 2023 |
| A note on backward prediction for multivariate ARMA processes M Mohammadpour Iranian Journal of Science and Technology, Transactions A: Science 41, 231-235, 2017 | 1 | 2017 |
| A new approach for time domain analysis of multivariate and functional time series M Mohammadpour, S Rezaee, AR Soltani Statistics 57 (6), 1380–1391, 2023 | | 2023 |
| A threshold modeling for nonlinear time series of counts: application to COVID-19 data N Shamma, M Mohammadpour, M Shirozhan TEST 32, 1195–1229, 2023 | | 2023 |
| A flexible INAR (1) time series model with dependent zero-inflated count series and medical contagious cases M Shirozhan, HS Bakouch, M Mohammadpour Mathematics and Computers in Simulation 206, 216-230, 2023 | | 2023 |
| Integer-valued Bilinear Model with Dependent Counting Series S Ramezani, M Mohammadpour Methodology and Computing in Applied Probability 24, 321–343, 2022 | | 2022 |
| A special integer-valued bilinear time series model with applications S Ramezani, M Mohammadpour Hacettepe Journal of Mathematics and Statistics 51 (5), 1458-1471, 2022 | | 2022 |
