Jeremy E. Oakley

Affiliations:
  • University of Sheffield, Department of Probability and Statistics, Sheffield, UK


According to our database1, Jeremy E. Oakley authored at least 18 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology.
Proceedings of the Computing in Cardiology, 2022

2021
Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds.
IEEE Trans. Biomed. Eng., 2020

Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions.
Medical Image Anal., 2020

Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity.
CoRR, 2020

2019
Toward a unified framework for model calibration and optimisation in virtual engineering workflows.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

An Algorithm to Sample an Anatomy With Uncertainty.
Proceedings of the Computing in Cardiology, 2018

2017
Calibration of Stochastic Computer Simulators Using Likelihood Emulation.
Technometrics, 2017

Efficient History Matching of a High Dimensional Individual-Based HIV Transmission Model.
SIAM/ASA J. Uncertain. Quantification, 2017

2015
Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda.
PLoS Comput. Biol., 2015

2014
When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies.
SIAM/ASA J. Uncertain. Quantification, 2014

A web-based tool for eliciting probability distributions from experts.
Environ. Model. Softw., 2014

2013
Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures.
Technometrics, 2013

2009
Decision-Theoretic Sensitivity Analysis for Complex Computer Models.
Technometrics, 2009

The cost-effectiveness of surgical instrument management policies to reduce the risk of vCJD transmission to humans.
J. Oper. Res. Soc., 2009

2005
Description of an individual patient methodology for calculating the cost-effectiveness of treatments for osteoporosis in women.
J. Oper. Res. Soc., 2005

2004
Probability is perfect, but we can't elicit it perfectly.
Reliab. Eng. Syst. Saf., 2004


  Loading...