A time-varying GARCH mixed-effects model for isolating high-and low-frequency volatility and co-volatility Z Aghabazaz, I Kazemi, A Nematollahi Statistical Modelling 24 (1), 58-81, 2024 | 2 | 2024 |
Dynamic mixed models with heterogeneous covariance components using multivariate GARCH innovations and the Dirichlet process mixture Z Aghabazaz, I Kazemi, A Nematollahi Journal of Computational and Applied Mathematics 438, 115579, 2024 | 1 | 2024 |
Under-reported time-varying MINAR (1) process for modeling multivariate count series Z Aghabazaz, I Kazemi Computational Statistics & Data Analysis 188, 107825, 2023 | 1 | 2023 |
A class of transformed joint quantile time series models with applications to health studies F Tourani-Farani, Z Aghabazaz, I Kazemi Computational Statistics, 1-24, 2024 | | 2024 |
Abstract MP21: Differences in Cardiovascular Risk Factors Across Age Strata in Five Race and Ethnic Groups: The Mediators of Atherosclerosis in South Asians Living in America … H Pedamallu, Z Aghabazaz, N Lancki, LA Rodriguez, J Siddique, ... Circulation 149 (Suppl_1), AMP21-AMP21, 2024 | | 2024 |
Prior Ground: Selection of Prior Distributions When Analyzing Clinical Trial Data Using Bayesian Methods J Siddique, Z Aghabazaz NEJM evidence 2 (11), EVIDe2300250, 2023 | | 2023 |
Generalized Birnbaum-Saunders Distribution Z Aghabazaz, MH Alamatsaz Andishe _ye Amari 19 (2), 1-21, 2015 | | 2015 |
Estimation Methods for the Parameters of Birnbaum-Saunders Distribution Z Aghabazaz, MH Alamatsaz Andishe _ye Amari 17 (2), 67-75, 2013 | | 2013 |