Issue Date	Title	Author(s)
2019	Sparse vector autoregression with application to multivariate cryptocurrency time series	Azzopardi, Lara Marie (2019)
2019	A study on sparse methods for PLS-DA	Aquilina, Albert (2019)
2019	Using tree-based methods for churn-related problems in I-Gaming	Axiaq, Sarah (2019)
2019	Analysing dichotomous and polytomous responses to items related to xenophobia using item response theory	Apap, Denise (2019)
2019	Financial fraud detection : a case in anti-money laundering	Buttigieg, Roberto
2019	Sparse vector autoregression with application to multivariate cryptocurrency time series	Azzopardi, Lara Marie
2019	A study on sparse methods for PLS-DA	Aquilina, Albert
2019	Artificial neural networks as an alternative to a traditional statistical modelling approach : a comparison through an insurance application	Aarohi, Luke
2019	Models for word prediction and information retrieval	Grech, Brandon
2019	Generalized linear mixed models to analyze longitudinal data related to general health	Spiteri, Andrew
2019	An application of Lasso Poisson Regression in configural frequency analysis for breast cancer analysis	Sant, Katya
2019	Exploring meta-analysis	Laferla, Martina
2019	Automobile insurance fraud detection	Grech, Liam
2019	Modelling customer lifetime value in iGaming	Catania, Thomas
2019	Frailty models in survival analysis	Grech, Aiden
2019	Self-exciting threshold autoregressive models for nonlinear time series	Briffa, Kristina
2019	An application of stochastic programming to inventory management	Borg Barthet, Luke
2019	Modeling language fluency using latent growth curve models	Borg, Timothy
2019	Using tree-based methods for churn-related problems in i-gaming	Axiaq, Sarah
2019	Bayesian nonparametric latent feature models	Abela, Nicky