Browsing by Author Friel, Nial


Or, select a letter below to browse by last name
0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Showing results 14 to 27 of 27 < previous 
Published DateTitleAuthor(s)
Jul-2017Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distributionBouranis, LamprosFriel, NialMaire, Florian
31-May-2018Efficient MCMC for Gibbs Random Fields using pre-computationBoland, AidanFriel, NialMarie, Florian
3-Feb-2015Efficient model selection for probabilistic K nearest neighbour classificationWon Yoon, JiFriel, Nial
12-Jun-2015Evaluating Squat Performance with a Single Inertial Measurement UnitO'Reilly, MartinWhelan, DarraghChanialidis, CharalamposFriel, NialDelahunt, EamonnWard, TomásCaulfield, Brian
2015Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable LikelihoodsFriel, NialMira, AntoniettaOates, Chris J.
Apr-2014A generalized multiple-try version of the Reversible Jump algorithmPandolfi, SliviaBartolucci, FrancescoFriel, Nial
1-Feb-2017Inferring structure in bipartite networks using the latent block model and exact ICLWyse, JasonFriel, NialLatouche, Pierre
9-Jun-2018Informed sub-sampling MCMC: approximate Bayesian inference for large datasetsMaire, FlorianFriel, NialAlquier, Pierre
May-2017Investigation of the widely applicable Bayesian information criterionFriel, NialMcKeone, J. P.Oates, Chris J.Pettitt, Anthony
23-Jul-2018Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte CarloBouranis, LamprosFriel, NialMaire, Florian
29-Oct-2018Noisy Hamiltonian Monte Carlo for Doubly Intractable DistributionsStoehr, JuilianBenson, AlanFriel, Nial
2014Noisy Monte Carlo: Convergence of Markov chains with approximate transition kernelsAlquier, PierreFriel, NialEveritt, R. G.Boland, Aidan
31-Oct-2017Optimal Bayesian estimators for latent variable cluster modelsRastelli, RiccardoFriel, Nial
12-Dec-2016Properties of Latent Variable Network ModelsRastelli, RiccardoFriel, NialRaftery, Adrian E.