English

Maximum a posteriori estimators in $\ell^p$ are well-defined for diagonal Gaussian priors

Statistics Theory 2023-05-17 v2 Probability Statistics Theory

Abstract

We prove that maximum a posteriori estimators are well-defined for diagonal Gaussian priors μ\mu on p\ell^p under common assumptions on the potential Φ\Phi. Further, we show connections to the Onsager--Machlup functional and provide a corrected and strongly simplified proof in the Hilbert space case p=2p=2, previously established by Dashti et al (2013) and Kretschmann (2019). These corrections do not generalize to the setting 1p<1 \leq p < \infty, which requires a novel convexification result for the difference between the Cameron--Martin norm and the pp-norm.

Keywords

Cite

@article{arxiv.2207.00640,
  title  = {Maximum a posteriori estimators in $\ell^p$ are well-defined for diagonal Gaussian priors},
  author = {Ilja Klebanov and Philipp Wacker},
  journal= {arXiv preprint arXiv:2207.00640},
  year   = {2023}
}