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Michael Fop
Michael Fop
Lecturer/Assistant Professor University College Dublin
Verified email at ucd.ie - Homepage
Title
Cited by
Cited by
Year
mclust 5: clustering, classification and density estimation using Gaussian finite mixture models
L Scrucca, M Fop, TB Murphy, AE Raftery
The R journal 8 (1), 289, 2016
19412016
Variable selection methods for model-based clustering
M Fop, TB Murphy
Statistics Surveys 12, 18-65, 2018
892018
mclust: Normal mixture modeling for model-based clustering, classification, and density estimation
C Fraley, A Raftery, L Scrucca, TB Murphy, M Fop
R package version 4, 2013
642013
Variable selection for latent class analysis with application to low back pain diagnosis
M Fop, KM Smart, TB Murphy
The Annals of Applied Statistics, 2080-2110, 2017
482017
mclust: Gaussian mixture modelling for model-based clustering, classification, and density estimation
C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop
R package version 5, 2021
452021
Package ‘mclust’
C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop, ML Scrucca
332012
mclust 5: clustering, classification and density estimation using Gaussian finite mixture models. R J. 2016; 8 (1): 289–317. doi: 10.32614
L Scrucca, M Fop, TB Murphy, AE Raftery
RJ-2016-021.[Europe PMC free article][Abstract][CrossRef][Google Scholar], 0
22
Model-based clustering with sparse covariance matrices
M Fop, TB Murphy, L Scrucca
Statistics and Computing 29 (4), 791-819, 2019
212019
Mclust: Gaussian mixture modelling for model-based clustering, classification, and density estimation, R package Version 5.3
C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop
R-project. org/package= mclust, 2017
152017
Is poor hamstring flexibility a risk factor for hamstring injury in Gaelic games?
S O’Connor, N McCaffrey, EF Whyte, M Fop, B Murphy, KA Moran
Journal of Sport Rehabilitation 28 (7), 677-681, 2019
112019
Can the Y balance test identify those at risk of contact or non-contact lower extremity injury in adolescent and collegiate Gaelic games?
S O’Connor, N McCaffrey, EF Whyte, M Fop, B Murphy, K Moran
Journal of science and medicine in sport 23 (10), 943-948, 2020
72020
Package “mclust”: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop
The Comprehensive R Archive Network, 2016
72016
mclust: Normal Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation, 2016
C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop
URL http://CRAN. R-project. org/package= mclust. R package version 5, 0
6
A stochastic block model for interaction lengths
R Rastelli, M Fop
Advances in Data Analysis and Classification 14 (2), 485-512, 2020
52020
Model-based clustering for multidimensional social networks
S D'Angelo, M Alf˛, M Fop
arXiv preprint arXiv:2001.05260, 2020
5*2020
Unobserved classes and extra variables in high-dimensional discriminant analysis
M Fop, PA Mattei, C Bouveyron, TB Murphy
Advances in Data Analysis and Classification 16 (1), 55-92, 2022
32022
Model-based clustering of data with measurement errors
M Fop, TB Murphy, L Hanlon
CLADAG, 2017
12017
Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation
A Casa, A Cappozzo, M Fop
International Conference on Soft Methods in Probability and Statistics, 73-78, 2023
2023
A Latent Shrinkage Position Model for Binary and Count Network Data
XY Gwee, IC Gormley, M Fop
arXiv preprint arXiv:2211.13034, 2022
2022
Group-wise shrinkage estimation in penalized model-based clustering
A Casa, A Cappozzo, M Fop
Journal of Classification, 1-27, 2022
2022
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