activity
20182022
collaborators

6 papers

stat.ME2022

Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport

Tin Lok James Ng, Andrew Zammit-Mangion

Recent years have seen an increased interest in the application of methods and techniques commonly associated with machine learning and artificial intelligence to spatial statistic…

cs.CL2020

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Linyi Yang, Eoin M. Kenny, Tin Lok James Ng +3

Corporate mergers and acquisitions (M&A) account for billions of dollars of investment globally every year, and offer an interesting and challenging domain for artificial intellige…

math.ST2020

Universal Approximation on the Hypersphere

Tin Lok James Ng, Kwok-Kun Kwong

It is well known that any continuous probability density function on can be approximated arbitrarily well by a finite mixture of normal distributions, provided that…

stat.ME2019

Deep Compositional Spatial Models

Andrew Zammit-Mangion, Tin Lok James Ng, Quan Vu +1

Spatial processes with nonstationary and anisotropic covariance structure are often used when modelling, analysing and predicting complex environmental phenomena. Such processes ma…

stat.ME2018

Model-based clustering for random hypergraphs

Tin Lok James Ng, Thomas Brendan Murphy

A probabilistic model for random hypergraphs is introduced to represent unary, binary and higher order interactions among objects in real-world problems. This model is an extension…

stat.AP2018

Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel

Tin Lok James Ng, Thomas Brendan Murphy, Ted Westling +2

Dáil Éireann is the principal chamber of the Irish parliament. The 31st Dáil Éireann is the principal chamber of the Irish parliament. The 31st Dáil was in session from March 11th,…