1. Case studies of predictive uncertainty quantification for geothermal models. (December 2021) Authors: Omagbon, Jericho; Doherty, John; Yeh, Angus; Colina, Racquel; O'Sullivan, John; McDowell, Julian; Nicholson, Ruanui; Maclaren, Oliver J.; O'Sullivan, Michael Journal: Geothermics Issue: Volume 97(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field*This work was partially supported by NSF grants ACI-1550547 and 1654311. (31st August 2018) Authors: Nicholson, Ruanui; Petra, Noémi; Kaipio, Jari P Journal: Inverse problems Issue: Volume 34:Number 11(2018:Nov.) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Incorporating Posterior‐Informed Approximation Errors Into a Hierarchical Framework to Facilitate Out‐of‐the‐Box MCMC Sampling for Geothermal Inverse Problems and Uncertainty Quantification. Issue 1 (15th January 2020) Authors: Maclaren, Oliver J.; Nicholson, Ruanui; Bjarkason, Elvar K.; O'Sullivan, John P.; O'Sullivan, Michael J. Journal: Water resources research Issue: Volume 56:Issue 1(2020) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Joint estimation of Robin coefficient and domain boundary for the Poisson problem. (8th December 2021) Authors: Nicholson, Ruanui; Niskanen, Matti Journal: Inverse problems Issue: Volume 38:Number 1(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. On global normal linear approximations for nonlinear Bayesian inverse problems. (17th March 2023) Authors: Nicholson, Ruanui; Petra, Noémi; Villa, Umberto; Kaipio, Jari P Journal: Inverse problems Issue: Volume 39:Number 5(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models. (21st September 2022) Authors: Simpson, Matthew J.; Baker, Ruth E.; Buenzli, Pascal R.; Nicholson, Ruanui; Maclaren, Oliver J. Journal: Journal of theoretical biology Issue: Volume 549(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗