17 citations · 17 across the 5 of their papers we have counts for
5 papers
Modelling failure risks in load sharing systems with heterogeneous components
Tim Pesch, Erhard Cramer, Edward Cripps +1
A load sharing system has several components and the failure of one component can affect the lifetime of the surviving components. Since component failure does not equate to system…
Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations
Connor Duffin, Paul Branson, Matt Rayson +3
The abundance of observed data in recent years has increased the number of statistical augmentations to complex models across science and engineering. By augmentation we mean coher…
Low-rank statistical finite elements for scalable model-data synthesis
Connor Duffin, Edward Cripps, Thomas Stemler +1
Statistical learning additions to physically derived mathematical models are gaining traction in the literature. A recent approach has been to augment the underlying physics of the…
AdaptSPEC-X: Covariate Dependent Spectral Modeling of Multiple Nonstationary Time Series
Michael Bertolacci, Ori Rosen, Edward Cripps +1
We present a method for the joint analysis of a panel of possibly nonstationary time series. The approach is Bayesian and uses a covariate-dependent infinite mixture model to incor…
A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent
Michael Bertolacci, Edward Cripps, Ori Rosen +1
Naveau et al. (2016) have recently developed a class of methods, based on extreme-value theory (EVT), for capturing low, moderate, and heavy rainfall simultaneously, without the ne…