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Nial Friel
Person information
- affiliation: University College Dublin, Ireland
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2020 – today
- 2024
- [j26]Joris Mulder
, Nial Friel, Philip Leifeld
:
Bayesian testing of scientific expectations under exponential random graph models. Soc. Networks 78: 40-53 (2024) - 2023
- [j25]Luiza S. C. Piancastelli
, Nial Friel
, Wagner Barreto-Souza
, Hernando C. Ombao
:
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. J. Comput. Graph. Stat. 32(2): 483-500 (2023) - 2022
- [j24]Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel
:
Statistical Network Analysis with Bergm. J. Stat. Softw. 104(1) (2022)
2010 – 2019
- 2019
- [j23]Florian Maire, Nial Friel
, Pierre Alquier
:
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets. Stat. Comput. 29(3): 449-482 (2019) - 2018
- [j22]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: 221-241 (2018) - [j21]Riccardo Rastelli
, Pierre Latouche, Nial Friel
:
Choosing the number of groups in a latent stochastic blockmodel for dynamic networks. Netw. Sci. 6(4): 469-493 (2018) - [j20]Riccardo Rastelli
, Nial Friel
:
Optimal Bayesian estimators for latent variable cluster models. Stat. Comput. 28(6): 1169-1186 (2018) - [r2]Alberto Caimo, Nial Friel:
Actor-Based Models for Longitudinal Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j19]Jason Wyse
, Nial Friel
, Pierre Latouche:
Inferring structure in bipartite networks using the latent blockmodel and exact ICL. Netw. Sci. 5(1): 45-69 (2017) - [j18]Caitríona Ryan
, Jason Wyse
, Nial Friel
:
Bayesian model selection for the latent position cluster model for social networks. Netw. Sci. 5(1): 70-91 (2017) - [j17]Nial Friel
, James P. McKeone, Chris J. Oates, Anthony N. Pettitt:
Investigation of the widely applicable Bayesian information criterion. Stat. Comput. 27(3): 833-844 (2017) - [j16]Lampros Bouranis, Nial Friel
, Florian Maire:
Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution. Soc. Networks 50: 98-108 (2017) - 2016
- [j15]Riccardo Rastelli
, Nial Friel
, Adrian E. Raftery:
Properties of latent variable network models. Netw. Sci. 4(4): 407-432 (2016) - [j14]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): 29-47 (2016) - [j13]Stephanie Thiemichen
, Nial Friel
, Alberto Caimo
, Göran Kauermann:
Bayesian exponential random graph models with nodal random effects. Soc. Networks 46: 11-28 (2016) - 2015
- [j12]Ji Won Yoon, Nial Friel
:
Efficient model selection for probabilistic K nearest neighbour classification. Neurocomputing 149: 1098-1108 (2015) - [j11]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): 21 (2015) - [j10]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): 111 (2015) - [c5]Julien Stoehr, Nial Friel:
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields. AISTATS 2015 - [c4]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: 1-6 - 2014
- [j9]Silvia Pandolfi, Francesco Bartolucci
, Nial Friel
:
A generalized multiple-try version of the Reversible Jump algorithm. Comput. Stat. Data Anal. 72: 298-314 (2014) - [j8]Nial Friel
, Merrilee Hurn, Jason Wyse
:
Improving power posterior estimation of statistical evidence. Stat. Comput. 24(5): 709-723 (2014) - [r1]Alberto Caimo, Nial Friel:
Actor-Based Models for Longitudinal Networks. Encyclopedia of Social Network Analysis and Mining 2014: 9-18 - 2013
- [j7]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: 12-31 (2013) - [j6]Alberto Caimo
, Nial Friel
:
Bayesian model selection for exponential random graph models. Soc. Networks 35(1): 11-24 (2013) - [i2]Ji Won Yoon, Nial Friel:
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification. CoRR abs/1305.1002 (2013) - 2012
- [j5]Gundula Behrens
, Nial Friel
, Merrilee Hurn:
Tuning tempered transitions. Stat. Comput. 22(1): 65-78 (2012) - [j4]Jason Wyse
, Nial Friel
:
Block clustering with collapsed latent block models. Stat. Comput. 22(2): 415-428 (2012) - [c3]Nial Friel
:
Bayesian inference for gibbs random fields using composite likelihoods. WSC 2012: 28:1-28:8 - [i1]Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel, Neil J. Hurley:
Model-based clustering in networks with Stochastic Community Finding. CoRR abs/1205.1997 (2012) - 2011
- [j3]Nial Friel
, Anthony N. Pettitt
:
Classification using distance nearest neighbours. Stat. Comput. 21(3): 431-437 (2011) - [j2]Alberto Caimo
, Nial Friel
:
Bayesian inference for exponential random graph models. Soc. Networks 33(1): 41-55 (2011) - 2010
- [c2]Haakon Michael Austad, Nial Friel:
Deterministic Bayesian inference for the p* model. AISTATS 2010: 41-48 - [c1]Silvia Pandolfi, Francesco Bartolucci, Nial Friel:
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. AISTATS 2010: 581-588
1990 – 1999
- 1999
- [j1]Nial Friel
, Ilya S. Molchanov
:
A new thresholding technique based on random sets. Pattern Recognit. 32(9): 1507-1517 (1999)
Coauthor Index
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last updated on 2024-06-19 20:57 CEST by the dblp team
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