Bayesian Non-Linear Statistical Inverse Problems

  • Richard Nickl

    University of Cambridge, UK
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Front matterDownload pp. i–vi
PrefaceDownload pp. vii–viii
ContentsDownload pp. ix–xii
1Non-linear statistical inverse problemspp. 1–22
2Global stability and posterior consistencypp. 23–40
3Information operators and curvaturepp. 41–66
4Bernstein--von Mises theoremspp. 67–90
5Posteriors are probably log-concavepp. 91–124
AAnalytical backgroundpp. 125–138
BFurther auxiliary resultspp. 139–150
Referencespp. 151–158
Indexp. 159