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PhD Stats Defence: Incorporating contact network uncertainty in individual level models of infectious disease within a bayesian framework

CANDIDATE:  WALEED ALMUTIRY ABSTRACT: Individual-level infectious disease models enable the study of transmission mechanisms of infectious disease while accounting for heterogeneity within the population. As well as via covariates, such heterogeneity is often best modelled through a contact network or a series of networks. However, contact network and exact time of infection (and removal) for individuals are often completely or partially unobserved.

Computational Statistics Research Talk - Saied Amiri

Title: Revisiting the clustering methods with the application for the BIG DATA Abstract: According to the Moore’s and Kryder’s laws, the computational power and information storage increase exponentially, so researchers and workers need more sophisticated and advanced methods for managing and interrogating Big Data.

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