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A data-dependent weighted LASSO under Poisson noise
[article]
2018
arXiv
pre-print
Sparse linear inverse problems appear in a variety of settings, but often the noise contaminating observations cannot accurately be described as bounded by or arising from a Gaussian distribution. Poisson observations in particular are a feature of several real-world applications. Previous work on sparse Poisson inverse problems encountered several limiting technical hurdles. This paper describes a novel alternative analysis approach for sparse Poisson inverse problems that (a) sidesteps the
arXiv:1509.08892v2
fatcat:7r5cncyb3nc2rk7zecvqhkhq7e