Nial Friel

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Jason WyseAssistant ProfessorVerified email at tcd.ie
Anthony PettittEmeritus Professor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
Riccardo RastelliAssistant Professor, University College DublinVerified email at ucd.ie
Alberto CaimoUniversity College DublinVerified email at ucd.ie
Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
Håvard RueKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Brendan MurphyUniversity College DublinVerified email at ucd.ie
Pierre AlquierESSEC Business SchoolVerified email at essec.edu
Lampros BouranisMarie Skłodowska-Curie Fellow, Department of Statistics, Athens University of Economics and BusinessVerified email at aueb.gr
Merrilee HurnUniversity of BathVerified email at bath.ac.uk
Ernst WitProfessor of Statistics and Data Science, Universita della Svizzera italiana, COSTNET CA15109Verified email at rug.nl
Neil HurleySenior Lecturer, University College DublinVerified email at ucd.ie
Aaron McDaidIn industry now, after a postdoc in statistical genetics. Might return to bioinformatics!Verified email at ucdconnect.ie
Ilya MolchanovUniversity of BernVerified email at stat.unibe.ch
Julien StoehrUniversité Paris-Dauphine, Université PSL, CEREMADEVerified email at ceremade.dauphine.fr
Silvia PandolfiAssociate Professor - Department of Economics - University of PerugiaVerified email at unipg.it
Francesco BartolucciProfessor of Statistics - Department of Economics - University of PerugiaVerified email at stat.unipg.it
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoVerified email at usi.ch
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Richard G. EverittUniversity of WarwickVerified email at warwick.ac.uk

Nial Friel

Professor of Statistics, University College Dublin, COSTNET CA15109

Verified email at ucd.ie - Homepage

Bayesian statistics Monte Carlo methods statistical network analysis


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Marginal likelihood estimation via power posteriors N Friel, AN Pettitt Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008	440	2008
Bayesian inference for exponential random graph models A Caimo, N Friel Social networks 33 (1), 41-55, 2011	308	2011
Estimating the evidence–a review N Friel, J Wyse Statistica Neerlandica 66 (3), 288-308, 2012	256	2012
Noisy Monte Carlo: Convergence of Markov chains with approximate transition kernels P Alquier, N Friel, R Everitt, A Boland Statistics and Computing 26 (1), 29-47, 2016	175	2016
Classical model selection via simulated annealing SP Brooks, N Friel, R King Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003	120	2003
Improved Bayesian inference for the stochastic block model with application to large networks AF McDaid, TB Murphy, N Friel, NJ Hurley Computational Statistics & Data Analysis 60, 12-31, 2013	111	2013
Interlocking directorates in Irish companies using a latent space model for bipartite networks N Friel, R Rastelli, J Wyse, AE Raftery Proceedings of the National Academy of Sciences 113 (24), 6629-6634, 2016	108	2016
Bergm: Bayesian Exponential Random Graphs in R A Caimo, N Friel Journal of Statistical Software 61 (2), 2014	100	2014
Block clustering with collapsed latent block models J Wyse, N Friel Statistics and Computing 22, 415-428, 2012	89	2012
Bayesian inference in hidden Markov random fields for binary data defined on large lattices N Friel, AN Pettitt, R Reeves, E Wit Journal of Computational and Graphical Statistics 18 (2), 243-261, 2009	83	2009
Improving power posterior estimation of statistical evidence N Friel, M Hurn, J Wyse Statistics and Computing 24, 709-723, 2014	80	2014
Properties of latent variable network models R Rastelli, N Friel, AE Raftery Network Science 4 (4), 407-432, 2016	75	2016
Bayesian model selection for exponential random graph models A Caimo, N Friel Social Networks 35 (1), 11-24, 2013	72	2013
Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion M Bertoletti, N Friel, R Rastelli Metron 73, 177-199, 2015	66	2015
Recursive computing and simulation-free inference for general factorizable models N Friel, H Rue Biometrika 94 (3), 661-672, 2007	57	2007
The effect of ball carrying method on sprint speed in rugby union football players SJ Grant, G Oommen, G McColl, J Taylor, L Watkins, N Friel, I Watt, ... Journal of Sports Science 21 (12), 1009-1015, 2003	57	2003
Evaluating squat performance with a single inertial measurement unit BC Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel ... 2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015	56	2015
Efficient calculation of the normalizing constant of the autologistic and related models on the cylinder and lattice AN Pettitt, N Friel, R Reeves Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003	54	2003
Inferring structure in bipartite networks using the latent blockmodel and exact ICL J Wyse, N Friel, P Latouche Network Science 5 (1), 45-69, 2017	53	2017
Bayesian exponential random graph models with nodal random effects S Thiemichen, N Friel, A Caimo, G Kauermann Social Networks 46, 11-28, 2016	53	2016

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