16 citations · 57 across the 25 of their papers we have counts for
32 papers
Modelling Correlated Bernoulli Data Part II: Inference
Louise Kimpton, Peter Challenor, Henry Wynn
Binary data are highly common in many applications, however it is usually modelled with the assumption that the data are independently and identically distributed. This is typicall…
Active Discrimination Learning for Gaussian Process Models
Elham Yousefi, Luc Pronzato, Markus Hainy +2
The paper covers the design and analysis of experiments to discriminate between two Gaussian process models, such as those widely used in computer experiments, kriging, sensor loca…
Binary De Bruijn Processes
Louise Kimpton, Peter Challenor, Henry Wynn
Binary time series data are very common in many applications, and are typically modelled independently via a Bernoulli process with a single probability of success. However, the pr…
Non-dimensional Newton-Puiseux Expansions
C. J. Chapman, H. P. Wynn, M. A. Atherton +1
Recent results in the theory and application of Newton-Puiseux expansions, i.e. fractional power series solutions of equations, suggest further developments within a more abstract…
Circuits for robust designs
Roberto Fontana, Fabio Rapallo, Henry P. Wynn
This paper continues the application of circuit theory to experimental design started by the first two authors. The theory gives a very special and detailed representation of the k…
Circuit bases for randomisation
Elena Pesce, Fabio Rapallo, Eva Riccomagno +1
After a rich history in medicine, randomisation control trials both simple and complex are in increasing use in other areas such as web-based AB testing and planning and design dec…