Nial Friel - RankMe

36 papers A 3C 1Misc 1Journal 29

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The clustered Mallows model. Stat. Comput. Luiza S. C. Piancastelli, Nial Friel
2024	J	`jnl`	Bayesian testing of scientific expectations under exponential random graph models. Soc. Networks Joris Mulder, Nial Friel, Philip Leifeld
2023	J	`jnl`	Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. J. Comput. Graph. Stat. Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando C. Ombao
2022	J	`jnl`	Statistical Network Analysis with Bergm. J. Stat. Softw. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel
2019	J	`jnl`	Informed sub-sampling MCMC: approximate Bayesian inference for large datasets. Stat. Comput. Florian Maire, Nial Friel, Pierre Alquier
2018	—	`ch.`	Actor-Based Models for Longitudinal Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Alberto Caimo, Nial Friel
2018	J	`jnl`	Choosing the number of groups in a latent stochastic blockmodel for dynamic networks. Netw. Sci. Riccardo Rastelli, Pierre Latouche, Nial Friel
2018	J	`jnl`	Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo. Comput. Stat. Data Anal. Lampros Bouranis, Nial Friel, Florian Maire
2018	J	`jnl`	Optimal Bayesian estimators for latent variable cluster models. Stat. Comput. Riccardo Rastelli, Nial Friel
2017	J	`jnl`	Bayesian model selection for the latent position cluster model for social networks. Netw. Sci. Caitríona Ryan, Jason Wyse, Nial Friel
2017	J	`jnl`	Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution. Soc. Networks Lampros Bouranis, Nial Friel, Florian Maire
2017	J	`jnl`	Inferring structure in bipartite networks using the latent blockmodel and exact ICL. Netw. Sci. Jason Wyse, Nial Friel, Pierre Latouche
2017	J	`jnl`	Investigation of the widely applicable Bayesian information criterion. Stat. Comput. Nial Friel, James P. McKeone, Chris J. Oates, Anthony N. Pettitt
2016	J	`jnl`	Bayesian exponential random graph models with nodal random effects. Soc. Networks Stephanie Thiemichen, Nial Friel, Alberto Caimo, Göran Kauermann
2016	J	`jnl`	Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Stat. Comput. Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland
2016	J	`jnl`	Properties of latent variable network models. Netw. Sci. Riccardo Rastelli, Nial Friel, Adrian E. Raftery
2015	A	`conf`	Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields. AISTATS Julien Stoehr, Nial Friel
2015	J	`jnl`	Efficient model selection for probabilistic K nearest neighbour classification. Neurocomputing Ji Won Yoon, Nial Friel
2015	C	`conf`	Evaluating squat performance with a single inertial measurement unit. BSN Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel, Eamonn Delahunt, Tomás Ward, Brian Caulfield
2015	J	`jnl`	Introduction to "Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks" by A. Caimo, A. Mira. Stat. Comput. Nial Friel
2015	J	`jnl`	Introduction to "Pre-processing for approximate Bayesian computation in image analysis" by M. Moores, C. Drovandi, K. Mengersen, C. Robert. Stat. Comput. Nial Friel
2014	J	`jnl`	A generalized multiple-try version of the Reversible Jump algorithm. Comput. Stat. Data Anal. Silvia Pandolfi, Francesco Bartolucci, Nial Friel
2014	—	`ch.`	Actor-Based Models for Longitudinal Networks. Encyclopedia of Social Network Analysis and Mining Alberto Caimo, Nial Friel
2014	J	`jnl`	Improving power posterior estimation of statistical evidence. Stat. Comput. Nial Friel, Merrilee Hurn, Jason Wyse
2013	J	`jnl`	Bayesian model selection for exponential random graph models. Soc. Networks Alberto Caimo, Nial Friel
2013	J	`jnl`	Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification CoRR Ji Won Yoon, Nial Friel
2013	J	`jnl`	Improved Bayesian inference for the stochastic block model with application to large networks. Comput. Stat. Data Anal. Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley
2012	Misc	`conf`	Bayesian inference for gibbs random fields using composite likelihoods. WSC Nial Friel
2012	J	`jnl`	Block clustering with collapsed latent block models. Stat. Comput. Jason Wyse, Nial Friel
2012	J	`jnl`	Model-based clustering in networks with Stochastic Community Finding CoRR Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley
2012	J	`jnl`	Tuning tempered transitions. Stat. Comput. Gundula Behrens, Nial Friel, Merrilee Hurn
2011	J	`jnl`	Bayesian inference for exponential random graph models. Soc. Networks Alberto Caimo, Nial Friel
2011	J	`jnl`	Classification using distance nearest neighbours. Stat. Comput. Nial Friel, Anthony N. Pettitt
2010	A	`conf`	A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. AISTATS Silvia Pandolfi, Francesco Bartolucci, Nial Friel
2010	A	`conf`	Deterministic Bayesian inference for the p* model. AISTATS Haakon Michael Austad, Nial Friel
1999	J	`jnl`	A new thresholding technique based on random sets. Pattern Recognit. Nial Friel, Ilya S. Molchanov