1 citations · 1 across the 5 of their papers we have counts for
5 papers
Propagating moments in probabilistic graphical models with polynomial regression forms for decision support systems
Victoria Volodina, Nikki Sonenberg, Peter Challenor +1
Probabilistic graphical models are widely used to model complex systems under uncertainty. Traditionally, Gaussian directed graphical models are applied for analysis of large netwo…
Using infinite server queues with partial information for occupancy prediction
Nikki Sonenberg, Victoria Volodina, Peter G. Challenor +1
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 queu…
A Bayesian Decision Support System in Energy Systems Planning
Victoria Volodina, Nikki Sonenberg, Peter Challenor +1
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, recent…
Propagating uncertainty in a network of energy models
Victoria Volodina, Nikki Sonenberg, Jim Q. Smith +3
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 fro…
Majorisation as a theory for uncertainty
Victoria Volodina, Nikki Sonenberg, Edward Wheatcroft +1
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 majorisat…