2 papers
math.ST2019
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
Oliver J. Maclaren, Ruanui Nicholson
We consider basic conceptual questions concerning the relationship between statistical estimation and causal inference. Firstly, we show how to translate causal inference problems…
stat.CO2018
Incorporating Posterior-Informed Approximation Errors into a Hierarchical Framework to Facilitate Out-of-the-Box MCMC Sampling for Geothermal Inverse Problems and Uncertainty Quantification
Oliver J. Maclaren, Ruanui Nicholson, Elvar K. Bjarkason +2
We consider geothermal inverse problems and uncertainty quantification from a Bayesian perspective. Our main goal is to make standard, `out-of-the-box' Markov chain Monte Carlo (MC…