Published in arXiv, 2026
TL;DR: Convergence analysis of the dimension-free Multiproposal pre-conditioned Crank-Nicolson (mpCN) and the Multiple-Try-mpCN.
Published in arXiv, 2026
TL;DR: A multiproposal variant of elliptical slice sampling designed to improve sampling efficiency for Gaussian-prior models.
Published in arXiv, 2026
TL;DR: Bayesian approach (model + MCMC algorithms) for semi-blind deconvolution that scales to large datasets.
Published in Geophysical Prospecting, 2025
TL;DR: Scalable Bayesian wavelet estimation with uncertainty quantification for large seismic datasets.