Browsing by Subject Gaussian processes

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Showing results 1 to 18 of 18
Issue DateTitleAuthor(s)
2019Artificial neural networks as an alternative to a traditional statistical modelling approach : a comparison through an insurance applicationAarohi, Luke
2014Audio fingerprinting systemBorg, Analise (2014)
2017Bayesian data analysis techniques in noisy environmentsCutajar, Deandra (2017)
2021Constraining teleparallel gravity through Gaussian processesBriffa, Rebecca; Capozziello, Salvatore; Said, Jackson; Mifsud, Jurgen; Saridakis, Emmanuel N.
2021A data-driven reconstruction of Horndeski gravity via the Gaussian processesBernardo, Reginald Christian; Said, Jackson
2019Enhanced continuous generation of non-Gaussianity through optomechanical modulationQvarfort, Sofia; Serafini, Alessio; Xuereb, Andre; Rätzel, Dennis; Edward Bruschi, David
2021Evaluating different selection criteria for phase type survival tree constructionGarg, Lalit; McClean, Sally I.; Barton, Maria; Meenan, Brian J.; Fullerton, Ken; Kontonatsios, Georgios; Trovati, Marcello; Konkontzelos, Ioannis; Xu, Xiaolong; Farid, Mohsen
2010The extended mixture distribution survival tree based analysis for clustering and patient pathway prognostication in a stroke care unitGarg, Lalit; McClean, Sally; Barton, Maria; Meenan, Brian; Fullerton, Ken
2013An extended mixture distribution survival tree for patient pathway prognosticationGarg, Lalit; McClean, Sally; Barton, Maria; Meenan, Brian; Fullerton, Ken
2013An extended mixture distribution survival tree for patient pathway prognosticationGarg, Lalit; McClean, Sally; Barton, Maria; Meenan, Brian; Fullerton, Ken
2016Gaussian process classification of sportsbook customersFilletti, Michael (2016)
2022Impact of H₀ priors on ƒ (T) late time cosmologyBriffa, Rebecca; Escamilla-Rivera, Celia; Said, Jackson; Mifsud, Jurgen; Pullicino, Nathan Lee
2014The lognormal and inverse Gaussian distributions as lifetime modelsMuscat, Daniela (2014)
2021Performance of non-parametric reconstruction techniques in the late-time universeEscamilla-Rivera, Celia; Said, Jackson; Mifsud, Jurgen
2019Predicting motor policy loss – a ZAIG model or a two stage neural network approach?Aarohi, Luke; Suda, David
2021Reconstructing teleparallel gravity with cosmic structure growth and expansion rate dataSaid, Jackson; Mifsud, Jurgen; Sultana, Joseph; Zarb Adami, Kristian
2020Testing gravity theories using cosmological observationsBriffa, Rebecca
2021Towards a model-independent reconstruction approach for late-time Hubble dataBernardo, Reginald Christian; Said, Jackson