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We identify appropriate conditions on the likelihood distribution and the prior measure which guarantee existence, uniqueness, and stability of the posterior measure with respect to perturbations of the data. We also consider consistent approximations of the posterior such as discretization by projection. Finally, we present a general recipe for construction of convex priors on Banach spaces which will be of interest in practical applications where one often works with spaces such as $L^2$ or the continuous functions.<\/jats:p>","DOI":"10.1137\/16m1076824","type":"journal-article","created":{"date-parts":[[2017,4,27]],"date-time":"2017-04-27T10:54:25Z","timestamp":1493290465000},"page":"436-465","source":"Crossref","is-referenced-by-count":26,"title":["Well-Posed Bayesian Inverse Problems: Priors with Exponential Tails"],"prefix":"10.1137","volume":"5","author":[{"given":"Bamdad","family":"Hosseini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nilima","family":"Nigam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1137\/130944229"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1007\/s00199-004-0514-4"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/26\/3\/035010"},{"key":"atypb4","unstructured":"J. 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