3 papers
stat.AP2020
A statistical machine learning approach for benchmarking in the presence of complex contextual factors and peer groups
Daniel W. Kennedy, Jessica Cameron, Paul P. -Y. Wu +1
The ability to compare between individuals or organisations fairly is important for the development of robust and meaningful quantitative benchmarks. To make fair comparisons, cont…
stat.AP2020
Peer groups for organisational learning: clustering with practical constraints
Daniel William Kennedy, Jessica Cameron, Paul Pao-Yen Wu +1
Peer-grouping is used in many sectors for organisational learning, policy implementation, and benchmarking. Clustering provides a statistical, data-driven method for constructing m…
stat.ME2018
Likelihood-free parameter estimation for dynamic queueing networks: case study of passenger flow in an international airport terminal
Anthony Ebert, Ritabrata Dutta, Kerrie Mengersen +3
Dynamic queueing networks (DQN) model queueing systems where demand varies strongly with time, such as airport terminals. With rapidly rising global air passenger traffic placing i…