Nial Friel

According to our database, Nial Friel authored at least 35 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bayesian testing of scientific expectations under exponential random graph models.

Joris Mulder, Nial Friel, Philip Leifeld

Soc. Networks, 2024

2023

Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference.

Luiza S. C. Piancastelli, Nial Friel, Wagner Barreto-Souza, Hernando C. Ombao

J. Comput. Graph. Stat., April, 2023

2022

Statistical Network Analysis with Bergm.

Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel

J. Stat. Softw., 2022

2019

Informed sub-sampling MCMC: approximate Bayesian inference for large datasets.

Florian Maire, Nial Friel, Pierre Alquier

Stat. Comput., 2019

2018

Actor-Based Models for Longitudinal Networks.

Alberto Caimo, Nial Friel

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Optimal Bayesian estimators for latent variable cluster models.

Riccardo Rastelli, Nial Friel

Stat. Comput., 2018

Choosing the number of groups in a latent stochastic blockmodel for dynamic networks.

Riccardo Rastelli, Pierre Latouche, Nial Friel

Netw. Sci., 2018

Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo.

Lampros Bouranis, Nial Friel, Florian Maire

Comput. Stat. Data Anal., 2018

2017

Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution.

Lampros Bouranis, Nial Friel, Florian Maire

Soc. Networks, 2017

Investigation of the widely applicable Bayesian information criterion.

Nial Friel, James P. McKeone, Chris J. Oates, Anthony N. Pettitt

Stat. Comput., 2017

Inferring structure in bipartite networks using the latent blockmodel and exact ICL.

Jason Wyse, Nial Friel, Pierre Latouche

Netw. Sci., 2017

Bayesian model selection for the latent position cluster model for social networks.

Caitríona Ryan, Jason Wyse, Nial Friel

Netw. Sci., 2017

2016

Bayesian exponential random graph models with nodal random effects.

Stephanie Thiemichen, Nial Friel, Alberto Caimo, Göran Kauermann

Soc. Networks, 2016

Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels.

Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland

Stat. Comput., 2016

Properties of latent variable network models.

Riccardo Rastelli, Nial Friel, Adrian E. Raftery

Netw. Sci., 2016

2015

Introduction to "Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks" by A. Caimo, A. Mira.

Nial Friel

Stat. Comput., 2015

Introduction to "Pre-processing for approximate Bayesian computation in image analysis" by M. Moores, C. Drovandi, K. Mengersen, C. Robert.

Nial Friel

Stat. Comput., 2015

Efficient model selection for probabilistic K nearest neighbour classification.

Ji Won Yoon, Nial Friel

Neurocomputing, 2015

Evaluating squat performance with a single inertial measurement unit.

Martin O'Reilly, Darragh Whelan, Charalampos Chanialidis, Nial Friel, Eamonn Delahunt, Tomás Ward, Brian Caulfield

Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields.

Julien Stoehr, Nial Friel

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Actor-Based Models for Longitudinal Networks.

Alberto Caimo, Nial Friel

Encyclopedia of Social Network Analysis and Mining, 2014

Improving power posterior estimation of statistical evidence.

Nial Friel, Merrilee Hurn, Jason Wyse

Stat. Comput., 2014

A generalized multiple-try version of the Reversible Jump algorithm.

Silvia Pandolfi, Francesco Bartolucci, Nial Friel

Comput. Stat. Data Anal., 2014

2013

Bayesian model selection for exponential random graph models.

Alberto Caimo, Nial Friel

Soc. Networks, 2013

Improved Bayesian inference for the stochastic block model with application to large networks.

Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley

Comput. Stat. Data Anal., 2013

Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification

Ji Won Yoon, Nial Friel

CoRR, 2013

2012

Block clustering with collapsed latent block models.

Jason Wyse, Nial Friel

Stat. Comput., 2012

Tuning tempered transitions.

Gundula Behrens, Nial Friel, Merrilee Hurn

Stat. Comput., 2012

Model-based clustering in networks with Stochastic Community Finding

Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley

CoRR, 2012

Bayesian inference for gibbs random fields using composite likelihoods.

Nial Friel

Proceedings of the Winter Simulation Conference, 2012

2011

Bayesian inference for exponential random graph models.

Alberto Caimo, Nial Friel

Soc. Networks, 2011

Classification using distance nearest neighbours.

Nial Friel, Anthony N. Pettitt

Stat. Comput., 2011

2010

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection.

Silvia Pandolfi, Francesco Bartolucci, Nial Friel

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Deterministic Bayesian inference for the p* model.

Haakon Michael Austad, Nial Friel

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

1999

A new thresholding technique based on random sets.

Nial Friel, Ilya S. Molchanov

Pattern Recognit., 1999