83 citations · 136 across the 33 of their papers we have counts for
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Bayesian inversion with Student's t priors based on Gaussian scale mixtures
Angelina Senchukova, Felipe Uribe, Lassi Roininen
Many inverse problems focus on recovering a quantity of interest that is a priori known to exhibit either discontinuous or smooth behavior. Within the Bayesian approach to inverse…
Bayesian inversion with α-stable priors
Jarkko Suuronen, Tomás Soto, Neil K. Chada +1
We propose to use Lévy α-stable distributions for constructing priors for Bayesian inverse problems. The construction is based on Markov fields with stable-distributed increments.…
Cauchy Markov Random Field Priors for Bayesian Inversion
Neil K. Chada, Lassi Roininen, Jarkko Suuronen
The use of Cauchy Markov random field priors in statistical inverse problems can potentially lead to posterior distributions which are non-Gaussian, high-dimensional, multimodal an…
Posterior Inference for Sparse Hierarchical Non-stationary Models
Karla Monterrubio-Gómez, Lassi Roininen, Sara Wade +2
Gaussian processes are valuable tools for non-parametric modelling, where typically an assumption of stationarity is employed. While removing this assumption can improve prediction…