Nial Friel

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 14

Top Topics

K Nearest Neighbour

Random Graph Models

Social Networks

Bayesian Inference

Top Venues

Comput. Stat. Data Anal.

Publications

Joris Mulder, Nial Friel, Philip Leifeld
Bayesian testing of scientific expectations under exponential random graph models. Soc. Networks 78 (2024)
Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando Ombao
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. J. Comput. Graph. Stat. 32 (2) (2023)
Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel
Statistical Network Analysis with Bergm. J. Stat. Softw. 104 (1) (2022)
Florian Maire, Nial Friel, Pierre Alquier
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets. Stat. Comput. 29 (3) (2019)
Riccardo Rastelli, Nial Friel
Optimal Bayesian estimators for latent variable cluster models. Stat. Comput. 28 (6) (2018)
Lampros Bouranis, Nial Friel, Florian Maire
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo. Comput. Stat. Data Anal. 128 (2018)
Riccardo Rastelli, Pierre Latouche, Nial Friel
Choosing the number of groups in a latent stochastic blockmodel for dynamic networks. Netw. Sci. 6 (4) (2018)
Caitríona Ryan, Jason Wyse, Nial Friel
Bayesian model selection for the latent position cluster model for social networks. Netw. Sci. 5 (1) (2017)
Lampros Bouranis, Nial Friel, Florian Maire
Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution. Soc. Networks 50 (2017)
Jason Wyse, Nial Friel, Pierre Latouche
Inferring structure in bipartite networks using the latent blockmodel and exact ICL. Netw. Sci. 5 (1) (2017)
Nial Friel, James P. McKeone, Chris J. Oates, Anthony N. Pettitt
Investigation of the widely applicable Bayesian information criterion. Stat. Comput. 27 (3) (2017)
Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Stat. Comput. 26 (1-2) (2016)
Stephanie Thiemichen, Nial Friel, Alberto Caimo, Göran Kauermann
Bayesian exponential random graph models with nodal random effects. Soc. Networks 46 (2016)
Riccardo Rastelli, Nial Friel, Adrian E. Raftery
Properties of latent variable network models. Netw. Sci. 4 (4) (2016)
Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel, Eamonn Delahunt, Tomás Ward, Brian Caulfield
Evaluating squat performance with a single inertial measurement unit. BSN (2015)
Julien Stoehr, Nial Friel
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields. AISTATS (2015)
Ji Won Yoon, Nial Friel
Efficient model selection for probabilistic K nearest neighbour classification. Neurocomputing 149 (2015)
Nial Friel
Introduction to "Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks" by A. Caimo, A. Mira. Stat. Comput. 25 (1) (2015)
Nial Friel
Introduction to "Pre-processing for approximate Bayesian computation in image analysis" by M. Moores, C. Drovandi, K. Mengersen, C. Robert. Stat. Comput. 25 (1) (2015)
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
A generalized multiple-try version of the Reversible Jump algorithm. Comput. Stat. Data Anal. 72 (2014)
Nial Friel, Merrilee Hurn, Jason Wyse
Improving power posterior estimation of statistical evidence. Stat. Comput. 24 (5) (2014)
Alberto Caimo, Nial Friel
Bayesian model selection for exponential random graph models. Soc. Networks 35 (1) (2013)
Ji Won Yoon, Nial Friel
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification CoRR (2013)
Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley
Improved Bayesian inference for the stochastic block model with application to large networks. Comput. Stat. Data Anal. 60 (2013)
Jason Wyse, Nial Friel
Block clustering with collapsed latent block models. Stat. Comput. 22 (2) (2012)
Gundula Behrens, Nial Friel, Merrilee Hurn
Tuning tempered transitions. Stat. Comput. 22 (1) (2012)
Nial Friel
Bayesian inference for gibbs random fields using composite likelihoods. WSC (2012)
Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley
Model-based clustering in networks with Stochastic Community Finding CoRR (2012)
Alberto Caimo, Nial Friel
Bayesian inference for exponential random graph models. Soc. Networks 33 (1) (2011)
Nial Friel, Anthony N. Pettitt
Classification using distance nearest neighbours. Stat. Comput. 21 (3) (2011)
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. AISTATS (2010)
Haakon Austad, Nial Friel
Deterministic Bayesian inference for the p* model. AISTATS (2010)
Nial Friel, Ilya S. Molchanov
A new thresholding technique based on random sets. Pattern Recognit. 32 (9) (1999)