The use of simple reparameterizations to improve the efficiency of Markov chain Monte Carlo estimation for multilevel models with applications to discrete time survival models WJ Browne, F Steele, M Golalizadeh, MJ Green Journal of the Royal Statistical Society Series A: Statistics in Society 172 …, 2009 | 75 | 2009 |
Double‐blind randomized parallel‐group clinical trial of efficacy of the combination fluoxetine plus modafinil versus fluoxetine plus placebo in the treatment of major depression R Abolfazli, M Hosseini, A Ghanizadeh, A Ghaleiha, M Tabrizi, ... Depression and anxiety 28 (4), 297-302, 2011 | 59 | 2011 |
Estimation of parameters in multivariate wrapped models for data on a p-torus A Nodehi, M Golalizadeh, M Maadooliat, C Agostinelli Computational Statistics 36 (1), 193-215, 2021 | 19 | 2021 |
Brownian motion and Ornstein–Uhlenbeck processes in planar shape space FG Ball, IL Dryden, M Golalizadeh Methodology and Computing in Applied Probability 10, 1-22, 2008 | 14 | 2008 |
Object-based hyperspectral image classification using a new latent block model based on hidden Markov random fields HS Fatemighomi, M Golalizadeh, M Amani Pattern Analysis and Applications 25 (2), 467-481, 2022 | 11 | 2022 |
Dihedral angles principal geodesic analysis using nonlinear statistics A Nodehi, M Golalizadeh, A Heydari Journal of Applied Statistics 42 (9), 1962-1972, 2015 | 8 | 2015 |
The use of simple reparameterisations in MCMC estimation of multilevel models with applications to discrete-time survival models WJ Browne, F Steele, M Golalizadeh, M Green Journal of the Royal Statistical Society A (Statistics in Society) 172 (3 …, 2009 | 7 | 2009 |
MLPowSim WJ Browne, M Golalizadeh Bristol: Centre for Multilevel Modelling, 2009 | 5 | 2009 |
The use of simple reparameterisations to improve the efficiency of MCMC estimation for multilevel models with applications to discrete-time survival models WJ Browne, F Steele, M Golalizadeh, M Green Journal of the Royal Statistical Society, Series A 172, 1-2, 2009 | 5 | 2009 |
Estimation of multivariate wrapped models for data in torus A Nodehi, M Golalizadeh, M Maadooliat, C Agostinelli arXiv preprint arXiv:1811.06007, 2018 | 4 | 2018 |
On clustering shape data M Nabil, M Golalizadeh Journal of Statistical Computation and Simulation 86 (15), 2995-3008, 2016 | 4 | 2016 |
Spherical logistic distribution M Moghimbeygi, M Golalizadeh Communications in Mathematics and Statistics 8 (2), 151-166, 2020 | 3 | 2020 |
Longitudinal shape analysis by using the spherical coordinates M Moghimbeygi, M Golalizadeh Journal of Applied Statistics 44 (7), 1282-1295, 2017 | 3 | 2017 |
Exploring the variability of DNA molecules via principal geodesic analysis on the shape space H Fotouhi, M Golalizadeh Journal of Applied Statistics 39 (10), 2199-2207, 2012 | 3 | 2012 |
A new extension of von Mises-Fisher distribution M Moghimbeygi, M Golalizadeh Hacettepe Journal of Mathematics and Statistics 50 (6), 1838-1854, 2021 | 2 | 2021 |
On Bayesian Analysis of Seemingly Unrelated Regression Model with Skew Distribution Error O Akhgari, M Golalizadeh REVSTAT-Statistical Journal 18 (4), 531–551-531–551, 2020 | 2 | 2020 |
Bayesian alignment of proteins via Delaunay tetrahedralization SM Najibi, MR Faghihi, M Golalizadeh, SS Arab Journal of Applied Statistics 42 (5), 1064-1079, 2015 | 2 | 2015 |
Nonparametric Regression Modeling of Shape Data Using Ordinary Procrustes Analysis M Moghimbeygi, M Golalizadeh 2021 52nd Annual Iranian Mathematics Conference (AIMC), 85-87, 2021 | 1 | 2021 |
Torus Probabilistic Principal Component Analysis A Nodehi, M Golalizadeh, M Maadooliat, C Agostinelli arXiv preprint arXiv:2008.10725, 2020 | 1 | 2020 |
A longitudinal model for shapes through triangulation M Moghimbeygi, M Golalizadeh AStA Advances in Statistical Analysis 103, 99-121, 2019 | 1 | 2019 |