Bayesian testing of scientific expectations under exponential random graph models J Mulder, N Friel, P Leifeld Social Networks 78, 40-53, 2024 | | 2024 |
Bayesian Strategies for Repulsive Spatial Point Processes C Lu, N Friel arXiv preprint arXiv:2404.15133, 2024 | 1 | 2024 |
Clustered Mallows Model LSC Piancastelli, N Friel arXiv preprint arXiv:2403.12880, 2024 | 2 | 2024 |
Computationally efficient inference for latent position network models R Rastelli, F Maire, N Friel Electronic Journal of Statistics 18 (1), 2531-2570, 2024 | | 2024 |
Package ‘Bergm’ A Caimo, N Friel, MA Caimo | | 2023 |
Latent position network models H Kaur, R Rastelli, N Friel, AE Raftery arXiv preprint arXiv:2304.02979, 2023 | 2 | 2023 |
Multivariate Conway-Maxwell-Poisson distribution: Sarmanov method and doubly intractable Bayesian inference LSC Piancastelli, N Friel, W Barreto-Souza, H Ombao Journal of Computational and Graphical Statistics 32 (2), 483-500, 2023 | 7 | 2023 |
Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model F Basini, V Tsouli, I Ntzoufras, N Friel Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | | 2023 |
Assessing epidemic curves for evidence of superspreading J Meagher, N Friel Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 1 | 2022 |
Supplementary Material Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference LSC Piancastelli, N Friel, W Barreto-Souza, H Ombao | | 2022 |
Calibrating COVID-19 susceptible-exposed-infected-removed models with time-varying effective contact rates JP Gleeson, T Brendan Murphy, JD O’Brien, N Friel, N Bargary, ... Philosophical Transactions of the Royal Society A 380 (2214), 20210120, 2022 | 30 | 2022 |
Statistical network analysis with Bergm A Caimo, L Bouranis, R Krause, N Friel Journal of Statistical Software 104 (1), 1-23, 2022 | 8 | 2022 |
Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution A Benson, N Friel Bayesian Analysis 16 (3), 905-931, 2021 | 29 | 2021 |
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef L Piancastelli, N Friel, J Vercelloni, K Mengersen, A Mira arXiv preprint arXiv:2105.02140, 2021 | | 2021 |
GiRaF: a toolbox for Gibbs Random Fields analysis J Stoehr, P Pudlo, N Friel R package version 1 (1), 2020 | 4 | 2020 |
Bayesian variational inference for exponential random graph models LSL Tan, N Friel Journal of Computational and Graphical Statistics 29 (4), 910-928, 2020 | 21 | 2020 |
Adaptive incremental mixture markov chain monte carlo F Maire, N Friel, A Mira, AE Raftery Journal of Computational and Graphical Statistics 28 (4), 790-805, 2019 | 15 | 2019 |
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets F Maire, N Friel, P Alquier Statistics and Computing 29, 449-482, 2019 | 19* | 2019 |
Noisy Hamiltonian Monte Carlo for doubly intractable distributions J Stoehr, A Benson, N Friel Journal of Computational and Graphical Statistics 28 (1), 220-232, 2019 | 12 | 2019 |
Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo L Bouranis, N Friel, F Maire Computational Statistics & Data Analysis 128, 221-241, 2018 | 5 | 2018 |