| Evaluation of dynamic regression and artificial neural networks models for real-time hydrological drought forecasting M Dehghani, B Saghafian, F Rivaz, A Khodadadi Arabian Journal of Geosciences 10, 1-13, 2017 | 22 | 2017 |
| Monthly stream flow forecasting via dynamic spatio-temporal models M Dehghani, B Saghafian, F Rivaz, A Khodadadi Stochastic environmental research and risk assessment 29, 861-874, 2015 | 20 | 2015 |
| Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes H Zareifard, MJ Khaledi, F Rivaz, MQ Vahidi-Asl | 19 | 2018 |
| Empirical Bayes spatial prediction using a Monte Carlo EM algorithm MJ Khaledi, F Rivaz Statistical Methods and Applications 18, 35-47, 2009 | 10 | 2009 |
| Multivariate geostatistical analysis of fallout radionuclides activity measured by in-situ gamma-ray spectrometry: case study: loessial paired sub-catchments in northeast Iran M Hosseinalizadeh, H Ahmadi, S Feiznia, F Rivaz, S Naseri Quaternary International 429, 108-118, 2017 | 7 | 2017 |
| A non-homogeneous skew-Gaussian Bayesian spatial model H Boojari, MJ Khaledi, F Rivaz Statistical Methods & Applications 25, 55-73, 2016 | 6 | 2016 |
| Optimal network design for Bayesian spatial prediction of multivariate non-Gaussian environmental data F Rivaz Journal of Applied Statistics 43 (7), 1335-1348, 2016 | 5 | 2016 |
| Empirical bayes prediction for space-time data under separable model F Rivaz, ZM MOHAMMAD, KM JAFARI Journal of Statistical Sciences 1 (1), 45-59, 2007 | 5 | 2007 |
| Spatio-temporal modeling and prediction of CO concentrations in Tehran city F Rivaz, M Mohammadzadeh, MJ Khaledi Journal of Applied Statistics 38 (9), 1995-2007, 2011 | 4 | 2011 |
| Importance of outlier detection in spatial analysis of wind erosion M Hosseinalizadeh, F Rivaz, R Hedayatizadeh Procedia Environmental Sciences 7, 341-346, 2011 | 4 | 2011 |
| A scalable Bayesian nonparametric model for large spatio-temporal data Z Barzegar, F Rivaz Computational Statistics 35, 153-173, 2020 | 3 | 2020 |
| Some extensions of zero-inflated models and Bayesian tests for them M Mersad, M Ganjali, F Rivaz Journal of Statistical Computation and Simulation 85 (18), 3792-3810, 2015 | 3 | 2015 |
| Bayesian spatial prediction of skew and censored data via a hybrid algorithm F Rivaz, MJ Khaledi Journal of Applied Statistics 42 (9), 1993-2009, 2015 | 3 | 2015 |
| A Skew-Gaussian Spatio-Temporal Process with Non-Stationary Correlation Structure Z Barzegar, F Rivaz, J Khaledi Journal of The Iranian Statistical Society 18 (2), 63-85, 2022 | 2 | 2022 |
| Incorporating covariate information in the covariance structure of misaligned spatial data E Yarali, F Rivaz Environmetrics 31 (6), e2623, 2020 | 2 | 2020 |
| Likelihood Inference in A Multivariate Spatial GLMM with Skew Gaussian Random Effects Using the Slice-SAB Algorithm F Rivaz, MJ Khaledi Journal of Statistical Theory and Applications 16 (1), 108-116, 2017 | 2 | 2017 |
| Uncertainty analysis of monthly stream flow forecasting M Dehghan, B Saghafian, F Rivaz, A Khodadadi Current World Environment 9 (3), 894, 2014 | 2 | 2014 |
| Optimal network design for spatial prediction of soil redistribution (137Cs) based on a minimax approach F Rivaz, M Hosseinalizadeh, E Pebesma Eurasian Journal of Soil Science 3 (1), 33-41, 2014 | 2 | 2014 |
| A Bayesian nonparametric spatial model with covariate-dependent joint weights E Yarali, F Rivaz, MJ Khaledi Spatial Statistics 51, 100662, 2022 | 1 | 2022 |
| Spatio-temporal Prediction of Drought by Using SPEI in North-East of Iran M Sameti, SH Sanaei Nejad, B Ghahreman, F Rivaz Journal of Water and Soil Conservation 26 (4), 115-133, 2019 | 1 | 2019 |
Majid Jafari KhalediAssociate Professor of StatisticsVerified email at modares.ac.ir
