Marginal likelihood estimation via power posteriors N Friel, AN Pettitt Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008 | 421 | 2008 |
Bayesian inference for exponential random graph models A Caimo, N Friel Social networks 33 (1), 41-55, 2011 | 293 | 2011 |
Estimating the evidence–a review N Friel, J Wyse Statistica Neerlandica 66 (3), 288-308, 2012 | 245 | 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 | 165 | 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 | 107 | 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 | 96 | 2016 |
Bergm: Bayesian Exponential Random Graphs in R A Caimo, N Friel Journal of Statistical Software 61 (2), 2014 | 94 | 2014 |
Block clustering with collapsed latent block models J Wyse, N Friel Statistics and Computing 22, 415-428, 2012 | 86 | 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 | 81 | 2009 |
Improving power posterior estimation of statistical evidence N Friel, M Hurn, J Wyse Statistics and Computing 24, 709-723, 2014 | 79 | 2014 |
Properties of latent variable network models R Rastelli, N Friel, AE Raftery Network Science 4 (4), 407-432, 2016 | 70 | 2016 |
Bayesian model selection for exponential random graph models A Caimo, N Friel Social Networks 35 (1), 11-24, 2013 | 68 | 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 | 59 | 2015 |
Recursive computing and simulation-free inference for general factorizable models N Friel, H Rue Biometrika 94 (3), 661-672, 2007 | 57 | 2007 |
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 | 55 | 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 |
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 | 53 | 2003 |
Bayesian exponential random graph models with nodal random effects S Thiemichen, N Friel, A Caimo, G Kauermann Social Networks 46, 11-28, 2016 | 52 | 2016 |
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 | 49 | 2015 |