Nial Friel

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	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. Computational Statistics & Data Analysis 60: 12-31 (2013)
	2012
j6		Gundula Behrens, Nial Friel, Merrilee Hurn: Tuning tempered transitions. Statistics and Computing 22(1): 65-78 (2012)
j5		Jason Wyse, Nial Friel: Block clustering with collapsed latent block models. Statistics and Computing 22(1): 415-428 (2012)
j4		Jason Wyse, Nial Friel: Block clustering with collapsed latent block models. Statistics and Computing 22(2): 415-428 (2012)
c1		Nial Friel: Bayesian inference for gibbs random fields using composite likelihoods. Winter Simulation Conference 2012: 28
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)
	2010
j3		Haakon Austad, Nial Friel: Deterministic Bayesian inference for the p* model. Journal of Machine Learning Research - Proceedings Track 9: 41-48 (2010)
j2		Silvia Pandolfi, Francesco Bartolucci, Nial Friel: A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. Journal of Machine Learning Research - Proceedings Track 9: 581-588 (2010)
	1999
j1		Nial Friel, Ilya S. Molchanov: A new thresholding technique based on random sets. Pattern Recognition 32(9): 1507-1517 (1999)

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