activity
20182020
collaborators

7 papers

cs.CE2020

Continuous calibration of a digital twin: comparison of particle filter and Bayesian calibration approaches

Rebecca Ward, Ruchi Choudhary, Alastair Gregory +2

Assimilation of continuously streamed monitored data is an essential component of a digital twin; the assimilated data are used to ensure the digital twin is a true representation…

stat.ME2019

The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions

Mark Girolami, Eky Febrianto, Ge Yin +1

The increased availability of observation data from engineering systems in operation poses the question of how to incorporate this data into finite element models. To this end, we…

cs.LG2019

A streaming feature-based compression method for data from instrumented infrastructure

Alastair Gregory, Din-Houn Lau, Alex Tessier +1

An increasing amount of civil engineering applications are utilising data acquired from infrastructure instrumented with sensing devices. This data has an important role in monitor…

stat.CO2019

Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams

Alastair Gregory, Kaushik Jana

This article proposes a space-efficient approximation to empirical tail dependence coefficients of an indefinite bivariate stream of data. The approximation, which has stream-lengt…

stat.AP2018

The synthesis of data from instrumented structures and physics-based models via Gaussian processes

Alastair Gregory, Din-Houn Lau, Mark Girolami +2

A recent development which is poised to disrupt current structural engineering practice is the use of data obtained from physical structures such as bridges, viaducts and buildings…

stat.CO2018

A streaming algorithm for bivariate empirical copulas

Alastair Gregory

Empirical copula functions can be used to model the dependence structure of multivariate data. The Greenwald and Khanna algorithm is adapted in order to provide a space-memory effi…