Reza Mohammadi
Title
Cited by
Cited by
Year
Bayesian Structure Learning in Sparse Gaussian Graphical Models
A Mohammadi, EC Wit
Bayesian Analysis 10 (1), 109-138, 2015
1552015
BDgraph: An R package for Bayesian structure learning in graphical models
R Mohammadi, EC Wit
Journal of Statistical Software 89 (3), 1-30, 2019
55*2019
Package ‘BDgraph’
R Mohammadi, E Wit
https://CRAN.R-project.org/package=BDgraph, 1-45, 2018
40*2018
Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models
A Mohammadi, F Abegaz, E Heuvel, EC Wit
Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017
382017
Using mixture of Gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service
A Mohammadi, MR Salehi-Rad, EC Wit
Computational Statistics 28 (2), 683-700, 2013
272013
Bayesian inference and prediction in an M/G/1 with optional second service
A Mohammadi, MR Salehi-Rad
Communications in Statistics-Simulation and Computation 41 (3), 419-435, 2012
162012
Loglinear model selection and human mobility
A Dobra, R Mohammadi
The Annals of Applied Statistics 12 (2), 815-845, 2018
122018
Comparison of different hypotheses regarding the spread of Alzheimer’s disease using Markov random fields and multimodal imaging
M Dyrba, MJ Grothe, A Mohammadi, H Binder, T Kirste, SJ Teipel, ...
Journal of Alzheimer's Disease 65 (3), 731-746, 2018
102018
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models
R Mohammadi, H Massam, G Letac
arXiv preprint arXiv:1706.04416v3, 2017
8*2017
Bayesian Gaussian Copula Graphical Modeling for Dupuytren Disease
A Mohammadi, F Abegaz, E Heuvel, EC Wit
arXiv preprint arXiv:1501.04849, 2015
72015
The R package BDgraph for Bayesian structure learning in graphical models
A Mohammadi, A Dobra
ISBA Bulletin 24 (4), 11-16, 2017
52017
Assessing inter-modal and inter-regional dependencies in prodromal Alzheimer’s disease using multimodal MRI/PET and Gaussian graphical models
M Dyrba, R Mohammadi, MJ Grothe, T Kirste, SJ Teipel
Frontiers in aging neuroscience 12 (99), 1-15, 2020
4*2020
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models
R Mohammadi, M Pratola, M Kaptein
Journal of Machine Learning Research 21, 1-26, 2020
32020
Bayesian modeling of Dupuytren disease using copula Gaussian graphical models
A Mohammadi, F Abegaz, ER van den Heuvel, EC Wit
arXiv preprint arXiv:1501.04849, 2015
32015
Contributed discussion on article by finegold and drton
R Mohammadi
Bayesian Analysis 9 (3), 561-590, 2014
3*2014
A Shift-Dependent Measure of Extended Cumulative Entropy and Its Applications in Blind Image Quality Assessment
S Tahmasebi, A Keshavarz, M Longobardi, R Mohammadi
Symmetry 12 (2), 316, 2020
22020
bmixture: Bayesian Estimation for Finite Mixture of Distributions
R Mohammadi
R package version 1, 2018
22018
ssgraph: Bayesian Graphical Estimation using Spike-and-Slab Priors
R Mohammadi
https://CRAN.R-project.org/package=ssgraph, 2018
22018
Contributed discussion on article by Pratola
OA Chkrebtii, RB Stern, F Louzada, A Hoegh, R Entezari, RV Craiu, ...
Bayesian Analysis 11 (3), 929-943, 2016
22016
Contributed discussion on article by Pratola [Comment on" MT Pratola, Efficient metropolis-hastings proposal mechanisms for Bayesian regression tree models"]
A Mohammadi, MC Kaptein
12016
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Articles 1–20