Matches in SemOpenAlex for { <https://semopenalex.org/work/W1932648012> ?p ?o ?g. }
- W1932648012 abstract "This paper presents an efficient Bayesian framework for solving nonlinear, high-dimensional model calibration problems. It is based on a Variational Bayesian formulation that aims at approximating the exact posterior by means of solving an optimization problem over an appropriately selected family of distributions. The goal is two-fold. Firstly, to find lower-dimensional representations of the unknown parameter vector that capture as much as possible of the associated posterior density, and secondly to enable the computation of the approximate posterior density with as few forward calls as possible. We discuss how these objectives can be achieved by using a fully Bayesian argumentation and employing the marginal likelihood or evidence as the ultimate model validation metric for any proposed dimensionality reduction. We demonstrate the performance of the proposed methodology for problems in nonlinear elastography where the identification of the mechanical properties of biological materials can inform non-invasive, medical diagnosis. An Importance Sampling scheme is finally employed in order to validate the results and assess the efficacy of the approximations provided." @default.
- W1932648012 created "2016-06-24" @default.
- W1932648012 creator A5017629132 @default.
- W1932648012 creator A5053827070 @default.
- W1932648012 date "2014-12-01" @default.
- W1932648012 modified "2023-09-27" @default.
- W1932648012 title "Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography" @default.
- W1932648012 cites W1516111018 @default.
- W1932648012 cites W1534476996 @default.
- W1932648012 cites W1541162015 @default.
- W1932648012 cites W1573186872 @default.
- W1932648012 cites W1591608973 @default.
- W1932648012 cites W1600371943 @default.
- W1932648012 cites W1663973292 @default.
- W1932648012 cites W1964541391 @default.
- W1932648012 cites W1974915238 @default.
- W1932648012 cites W1985930395 @default.
- W1932648012 cites W1988447552 @default.
- W1932648012 cites W2001772063 @default.
- W1932648012 cites W2005876975 @default.
- W1932648012 cites W2005895632 @default.
- W1932648012 cites W2006730584 @default.
- W1932648012 cites W2008439960 @default.
- W1932648012 cites W2009503811 @default.
- W1932648012 cites W2011161612 @default.
- W1932648012 cites W2013957760 @default.
- W1932648012 cites W2017589027 @default.
- W1932648012 cites W2017871311 @default.
- W1932648012 cites W2017880874 @default.
- W1932648012 cites W2023103251 @default.
- W1932648012 cites W2023944418 @default.
- W1932648012 cites W2026170388 @default.
- W1932648012 cites W2029918260 @default.
- W1932648012 cites W2030033341 @default.
- W1932648012 cites W2031172850 @default.
- W1932648012 cites W2032043367 @default.
- W1932648012 cites W2033930313 @default.
- W1932648012 cites W2042985803 @default.
- W1932648012 cites W2044223573 @default.
- W1932648012 cites W2045363046 @default.
- W1932648012 cites W2048267518 @default.
- W1932648012 cites W2049198657 @default.
- W1932648012 cites W2050449588 @default.
- W1932648012 cites W2052297223 @default.
- W1932648012 cites W2054453829 @default.
- W1932648012 cites W2069271851 @default.
- W1932648012 cites W2074695760 @default.
- W1932648012 cites W2076605490 @default.
- W1932648012 cites W2078045751 @default.
- W1932648012 cites W2078897936 @default.
- W1932648012 cites W2083610112 @default.
- W1932648012 cites W2085694776 @default.
- W1932648012 cites W2086953401 @default.
- W1932648012 cites W2087944072 @default.
- W1932648012 cites W2094703482 @default.
- W1932648012 cites W2097715923 @default.
- W1932648012 cites W2099111195 @default.
- W1932648012 cites W2104860501 @default.
- W1932648012 cites W2106856278 @default.
- W1932648012 cites W2107973822 @default.
- W1932648012 cites W2115979064 @default.
- W1932648012 cites W2120340025 @default.
- W1932648012 cites W2120889539 @default.
- W1932648012 cites W2125027820 @default.
- W1932648012 cites W2125123544 @default.
- W1932648012 cites W2131067207 @default.
- W1932648012 cites W2131986555 @default.
- W1932648012 cites W2139701068 @default.
- W1932648012 cites W2140499889 @default.
- W1932648012 cites W2145096794 @default.
- W1932648012 cites W2145889472 @default.
- W1932648012 cites W2148154358 @default.
- W1932648012 cites W2151285685 @default.
- W1932648012 cites W2157238234 @default.
- W1932648012 cites W2161945313 @default.
- W1932648012 cites W2165173282 @default.
- W1932648012 cites W2166113069 @default.
- W1932648012 cites W2167234030 @default.
- W1932648012 cites W2172085063 @default.
- W1932648012 cites W2295549646 @default.
- W1932648012 cites W2477424666 @default.
- W1932648012 cites W2504619654 @default.
- W1932648012 cites W2515652460 @default.
- W1932648012 cites W2567948266 @default.
- W1932648012 cites W275979831 @default.
- W1932648012 cites W64572908 @default.
- W1932648012 cites W1503805307 @default.
- W1932648012 doi "https://doi.org/10.48550/arxiv.1412.0473" @default.
- W1932648012 hasPublicationYear "2014" @default.
- W1932648012 type Work @default.
- W1932648012 sameAs 1932648012 @default.
- W1932648012 citedByCount "0" @default.
- W1932648012 crossrefType "posted-content" @default.
- W1932648012 hasAuthorship W1932648012A5017629132 @default.
- W1932648012 hasAuthorship W1932648012A5053827070 @default.
- W1932648012 hasBestOaLocation W19326480121 @default.
- W1932648012 hasConcept C107673813 @default.
- W1932648012 hasConcept C111030470 @default.
- W1932648012 hasConcept C11413529 @default.
- W1932648012 hasConcept C121332964 @default.