Seuraa
Reza Mohammadi
Nimike
Viittaukset
Viittaukset
Vuosi
Bayesian Structure Learning in Sparse Gaussian Graphical Models
A Mohammadi, EC Wit
Bayesian Analysis 10 (1), 109-138, 2015
2482015
BDgraph: An R package for Bayesian structure learning in graphical models
R Mohammadi, EC Wit
Journal of Statistical Software 89 (3), 1-30, 2019
1262019
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
652017
Package ‘BDgraph’
R Mohammadi, E Wit
https://CRAN.R-project.org/package=BDgraph, 1-45, 2018
53*2018
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, 683-700, 2013
472013
Bayesian Analysis of Cross-sectional Networks: A Tutorial in R and JASP
KBS Huth, J de Ron, AE Goudriaan, J Luigjes, R Mohammadi, ...
372023
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models
R Mohammadi, H Massam, G Letac
Journal of the American Statistical Association 118 (542), 1345–1358, 2023
32*2023
Predicting the necessity of oxygen therapy in the early stage of COVID-19 using machine learning
S Saadatmand, K Salimifard, R Mohammadi, M Marzban, ...
Medical & Biological Engineering & Computing 60 (4), 957-968, 2022
222022
Loglinear model selection and human mobility
A Dobra, R Mohammadi
The Annals of Applied Statistics 12 (2), 815-845, 2018
222018
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
202012
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
17*2020
Predicting Breast Cancer Diagnosis Delay Using Machine Learning Techniques
S Dehdar, K Salimifard, R Mohammadi, M Marzban, S Saadatmand, ...
AIIM-D-22-00550, 2022
15*2022
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
132018
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
102020
Analysis of non-pharmaceutical interventions impacts on COVID-19 pandemic in Iran
S Saadatmand, K Salimifard, R Mohammadi
Nonlinear Dynamics 109 (1), 225-238, 2022
92022
Bayesian structure learning in undirected Gaussian graphical models: Literature review with empirical comparison
L Vogels, R Mohammadi, M Schoonhoven, Şİ Birbil
Journal of the American Statistical Association 119 (548), 3164-3182, 2024
82024
Bayesian Gaussian Copula Graphical Modeling for Dupuytren Disease
A Mohammadi, F Abegaz, E Heuvel, EC Wit
arXiv preprint arXiv:1501.04849, 2015
82015
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
52020
ssgraph: Bayesian Graphical Estimation using Spike-and-Slab Priors
R Mohammadi
https://CRAN.R-project.org/package=ssgraph, 2018
52018
Bayesian inference of microbiota systems from count metagenomic data
V Vinciotti, P Behrouzi, R Mohammadi
Journal of Machine Learning Research 25, 1-26, 2024
4*2024
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Artikkelit 1–20