Nikki Sonenberg
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View article: Propagating moments in probabilistic graphical models with polynomial regression forms for decision support systems
Propagating moments in probabilistic graphical models with polynomial regression forms for decision support systems Open
Probabilistic graphical models are widely used to model complex systems under uncertainty. Traditionally, Gaussian directed graphical models are applied for analysis of large networks with continuous variables as they can provide condition…
View article: Using infinite server queues with partial information for occupancy prediction
Using infinite server queues with partial information for occupancy prediction Open
Motivated by demand prediction for the custodial prison population in England and Wales, this paper describes an approach to the study of service systems using infinite server queues, where the system has non-empty initial state and the el…
View article: Using infinite server queues with partial information for occupancy prediction
Using infinite server queues with partial information for occupancy prediction Open
Motivated by demand prediction for the custodial prison population in England and Wales, this paper describes an approach to the study of service systems using infinite server queues, where the system has non-empty initial state and the el…
View article: Propagating uncertainty in a network of energy models
Propagating uncertainty in a network of energy models Open
Computer models are widely used in decision support for energy systems operation, planning and policy. A system of models is often employed, where model inputs themselves arise from other computer models, with each model being developed by…
View article: A Bayesian Decision Support System in Energy Systems Planning
A Bayesian Decision Support System in Energy Systems Planning Open
Gaussian Process (GP) emulators are widely used to approximate complex computer model behaviour across the input space. Motivated by the problem of coupling computer models, recently progress has been made in the theory of the analysis of …
A joint replenishment production-inventory model as an MMAP[K]/PH[K]/1 queue Open
sponsorship: This research was supported by the Research Foundation-Flanders (FWO-Vlaanderen), grant no. G069016N. This work was also supported by the Additional Funding Programme for Mathematical Sciences, delivered by EPSRC (grant no. EP…
View article: Propagating uncertainty in a network of energy models
Propagating uncertainty in a network of energy models Open
Computer models are widely used in decision support for energy systems operation, planning and policy. A system of models is often employed, where model inputs themselves arise from other computer models, with each model being developed by…
Majorisation as a theory for uncertainty Open
Majorisation, also called rearrangement inequalities, yields a type of stochastic ordering in which two or more distributions can be compared. In this paper we argue that majorisation is a good candidate as a theory for uncertainty. We pre…
Epidemiological consequences of enduring strain-specific immunity requiring repeated episodes of infection Open
Group A Streptococcus (GAS) skin infections are caused by a diverse array of strain types and are highly prevalent in disadvantaged populations. The role of strain-specific immunity in preventing GAS infections is poorly understood, repres…
Epidemiological consequences of enduring strain-specific immunity requiring repeated episodes of infection Open
Group A Streptococcus (GAS) skin infections are caused by a diverse array of strain types and are highly prevalent in Indigenous and other disadvantaged populations. The role of strain-specific immunity in preventing GAS infections is poor…
NETWORKS OF INTERACTING STOCHASTIC FLUID MODELS Open
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