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Nial Friel
Nial Friel
Professor of Statistics, University College Dublin, COSTNET CA15109
在 ucd.ie 的电子邮件经过验证 - 首页
标题
引用次数
年份
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
12024
Clustered Mallows Model
LSC Piancastelli, N Friel
arXiv preprint arXiv:2403.12880, 2024
22024
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
22023
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
72023
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
12022
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
302022
Statistical network analysis with Bergm
A Caimo, L Bouranis, R Krause, N Friel
Journal of Statistical Software 104 (1), 1-23, 2022
82022
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
292021
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
42020
Bayesian variational inference for exponential random graph models
LSL Tan, N Friel
Journal of Computational and Graphical Statistics 29 (4), 910-928, 2020
212020
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
152019
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
122019
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
52018
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