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  Bayesian Tree Regression within a Streaming Context 

  Ferreira, Michael Antonio (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)

  Regression in a statistical streaming environment. Explore either large amounts of data or data that is continually being generated in a meaningful way. The streaming setting is challenging because either the proportion ...
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  A Theoretical Analysis of Density Peaks Clustering and the Component-wise Peak-Finding Algorithm 

  Zhang, Mimi (2023)

  Density peaks clustering detects modes as points with high density and large distance to points of higher density. Each non-mode point is assigned to the same cluster as its nearest neighbor of higher density. Density ...
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  Distributed Lag Regression Methods and Compartmental Models for Analysis of Disease Progression 

  Dempsey, Daniel (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)

  ANCA vasculitis is an autoimmune disease characterised by relapses, or flares, that can have a severe detrimental impact on patient health. Flares can be prevented by suppressing the immune system but this exposes the ...
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  Incorporating Ignorance within Game Theory: An Imprecise Probability Approach 

  Fares, Bernard (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)

  Ignorance within non-cooperative games, reflected as a player's uncertain preferences towards a game's outcome, is examined from a probabilistic point of view. This topic has had scarce treatment in the literature, which ...
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  Reinforced EM Algorithm for Clustering with Gaussian Mixture Models 

  Zhang, Mimi (2023)

  Methods that employ the EM algorithm for parameter estimation typically face the notorious yet unsolved problem that the initialization input significantly impacts the algorithm output. We here develop a Reinforced ...

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