Two-step Bayesian methods for generalized regression driven by partial differential equations
DOI10.3150/21-BEJ1363OpenAlexW4224309056WikidataQ114038748 ScholiaQ114038748MaRDI QIDQ2137034
Wenli Shi, Prithwish Bhaumik, Subhashis Ghosal
Publication date: 16 May 2022
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/journals/bernoulli/volume-28/issue-3/Two-step-Bayesian-methods-for-generalized-regression-driven-by-partial/10.3150/21-BEJ1363.full
tensor productsBernstein-von Mises theorempartial differential equationcontiguityB-splinestwo-step methodgeneralized regressionprojection posterior
Parametric inference (62Fxx) Numerical methods for ordinary differential equations (65Lxx) Nonparametric inference (62Gxx)
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