arXiv stat.ML
· Papers
Quasi-Bayesian sequential deconvolution
arXiv:2408.14402v3 Announce Type: replace-cross Abstract: Density deconvolution is the inverse problem of estimating a probability density from observations contaminated by additive noise. Traditionally studied in static or batch settings, it increasingly arises with streaming data, where existing frequentist and Bayes