Vahid Nassiri
Vahid Nassiri
Open Analytics
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Geciteerd door
Geciteerd door
Identification of dynamic forces using group-sparsity in frequency domain
A Rezayat, V Nassiri, B De Pauw, J Ertveldt, S Vanlanduit, P Guillaume
Mechanical Systems and Signal Processing 70, 756-768, 2016
On using multiple imputation for exploratory factor analysis of incomplete data
V Nassiri, A Lovik, G Molenberghs, G Verbeke
Behavior research methods 50 (2), 501-517, 2018
Reconstruction of impacts on a composite plate using fiber Bragg gratings (FBG) and inverse methods
A Rezayat, B De Pauw, A Lamberti, M El-Kafafy, V Nassiri, J Ertveldt, ...
Composite Structures 149, 1-10, 2016
Truncated-exponential skew-symmetric distributions
S Nadarajah, V Nassiri, A Mohammadpour
Statistics 48 (4), 872-895, 2014
Improved discrimination between normal‐tension and primary open‐angle glaucoma with advanced vascular examinations–the Leuven Eye Study
J Barbosa‐Breda, K Van Keer, L Abeg„o‐Pinto, V Nassiri, G Molenberghs, ...
Acta Ophthalmologica 97 (1), e50-e56, 2019
Psychometric properties and comparison of different techniques for factor analysis on the Big Five Inventory from a Flemish sample
A Lovik, V Nassiri, G Verbeke, G Molenberghs, AK Sodermans
Personality and Individual Differences 117, 122-129, 2017
Iterative multiple imputation: A framework to determine the number of imputed datasets
V Nassiri, G Molenberghs, G Verbeke, J Barbosa-Breda
The American Statistician, 2019
Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients
P Mamouris, V Nassiri, G Molenberghs, M van den Akker, J van der Meer, ...
BMC medical research methodology 21, 1-9, 2021
Fast, closed-form, and efficient estimators for hierarchical models with AR (1) covariance and unequal cluster sizes
L Hermans, V Nassiri, G Molenberghs, MG Kenward, W Van der Elst, ...
Communications in Statistics-Simulation and Computation 47 (5), 1492-1505, 2018
Unbalanced cluster sizes and rates of convergence in mixed-effects models for clustered data
W Van der Elst, L Hermans, G Verbeke, MG Kenward, V Nassiri, ...
Journal of Statistical Computation and Simulation 86 (11), 2123-2139, 2016
A generalized quantile regression model
V Nassiri, I Loris
Journal of applied statistics 40 (5), 1090-1105, 2013
Clusters with random size: maximum likelihood versus weighted estimation
L Hermans, V Nassiri, G Molenberghs, M Kenward, W Van
Submitted, 2016
A modified Tucker’s congruence coefficient for factor matching
A Lovik, V Nassiri, G Verbeke, G Molenberghs
Methodology 16 (1), 59-74, 2020
Clusters with unequal size: Maximum likelihood versus weighted estimation in large samples
L Hermans, V Nassiri, G Molenberghs, MG Kenward, W Van der Elst, ...
Statistica Sinica 28 (3), 1107-1132, 2018
Non-invasive assessment of cerebral oxygenation: A comparison of retinal and transcranial oximetry
K Van Keer, J Van Keer, J Barbosa Breda, V Nassiri, C De Deyne, ...
Plos one 13 (1), e0190612, 2018
An extension of parametric ROC analysis for calculating diagnostic accuracy when underlying distributions are mixture of Gaussian
K Hajian-Tilaki, JA Hanley, V Nassiri
Journal of Applied Statistics 38 (9), 2009-2022, 2011
Combining factors from different factor analyses based on factor congruence
A Lovik, V Nassiri, G Verbeke, G Molenberghs
Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society†…, 2018
Fast precision estimation in high‐dimensional multivariate joint models
V Nassiri, A Ivanova, G Molenberghs, G Verbeke
Biometrical Journal 59 (6), 1221-1231, 2017
Force identification using mixed and penalized optimization techniques
A Rezayat, V Nassiri, S Vanlanduit, P Guillaume
Proceedings of the 9th International Conference on Structural Dynamics†…, 2014
Solving noisy ICA using multivariate wavelet denoising with an application to noisy latent variables regression
V Nassiri, M Aminghafari, A Mohammad-Djafari
Communications in Statistics-Theory and Methods 43 (10-12), 2297-2310, 2014
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Artikelen 1–20