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stat.CO2022
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.…
stat.CO2021
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…