Publications and Further Research Outputs
Peer-Reviewed Publications
Tin Lok James Ng, Penalized maximum likelihood estimator for mixture of von Mises"Fisher distributions, Metrika, 2023
Tin Lok James Ng, Andrew Zammit-Mangion, Tin Lok James Ng [PDF] from projecteuclid.org Non-homogeneous Poisson process intensity modeling and estimation using measure transport, Bernoulli, 2023
Daniel E Zoughbie, Tin Lok James Ng, Jacqueline Y Thompson, Kathleen T Watson, Rami Farraj, Eric L Ding, Ramadan fasting and weight change trajectories: Time-varying association of weight during and after Ramadan in low-income and refugee populations, 2022
Tin Lok James Ng, Andrew Zammit-Mangion, Spherical Poisson point process intensity function modeling and estimation with measure transport, Spatial Statistics, 2022
Jennifer Scott, Enock Havyarimana, Albert Navarro-Gallinad, Arthur White, Jason Wyse, Jos van Geffen, Michiel van Weele, Antonia Buettner, Tamara Wanigasekera, Cathal Walsh, Louis Aslett, John D Kelleher, Julie Power, James Ng, Declan O'Sullivan, Lucy Hederman, Neil Basu, Mark A Little, Lina Zgaga, The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset, Arthritis Research & Therapy, 24, (1), 2022, p1 - 14
Tin Lok James Ng; Thomas Brendan Murphy , Model-based Clustering of Count Processes, Journal of Classification volume, 38, 2021, p188 - 211
Jake Thompson; James Ng; Bruce Armstrong; Eleonora Feletto; Tam Ha, Differences in colorectal cancer (CRC) patients who did and did not undergo screening: Results from the 45 and Up Study cohort, Cancer Epidemiology, 72, 2021
Tin Lok James Ng; Kwok-Kun Kwong , Universal approximation on the hypersphere, Communications in Statistics - Theory and Methods, 2021
Tin Lok James Ng; Thomas Brendan Murphy, Model-based clustering for random hypergraphs, Advances in Data Analysis and Classification, 2021
Tin Lok James Ng; Thomas Brendan Murphy , Weighted stochastic block model, Statistical Methods & Applications, 2021
Andrew Zammit-Mangion, Tin Lok James Ng, Quan Vu, Maurizio Filippone, Deep compositional spatial models, Journal of the American Statistical Association, 2021
Tin Lok James Ng, Thomas Brendan Murphy, Ted Westling, Tyler H. McCormick, Bailey K. Fosdick, Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmode, Annals of Applied Statistics, 2021
Linyi Yang, Eoin M. Kenny, Tin Lok Ng, Yi Yang, Barry Smyth, and Ruihai Dong, Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification, THE 28TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS, Virtual , 8-13 December, 2020, 2020
Linyi Yang, Tin Lok James Ng, Barry Smyth, Riuhai Dong, Html: Hierarchical transformer-based multi-task learning for volatility prediction, Proceedings of The Web Conference, Taiwan (Virtual), April 20 - 24, 2020, 2020
Tin Lok James Ng, Thomas Brendan Murphy, Generalized Random Dot Product graph, Statistics & Probability Letters, 148, 2019, p143 - 149
Tin Lok J. Ng; Thomas B. Murphy, Estimation of the intensity function of an inhomogeneous Poisson process with a change-point, The Canadian Journal of Statistics, 47, 2019, p604 - 618
Bailey K. Fosdick; Tyler H. McCormick; Thomas Brendan Murphy; Tin Lok James Ng; Ted Westling, Multiresolution Network Models, Journal of Computational and Graphical Statistics, 28, (1), 2019, p185 - 196
Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong, Multi-level attention-based neural networks for distant supervised relation extraction, 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, 7-8 December 2017, 2017
Recognition
Memberships
Irish Statistical Association
CMStatistics