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Akademický článek

Matlab Software for Supervised Habitat Mapping of Freshwater Systems Using Image Processing

Autor: Johnathan M. Bardsley, Marylesa Howard, Mark Lorang

Publikováno v: Remote Sensing, Vol 13, Iss 23, p 4906 (2021)

We present a software package for the supervised classification of images useful for cover-type mapping of freshwater habitat (e.g., water surface, gravel bars, vegetation). The software allows the user to select a representative subset of pixels wit

Externí odkaz: https://doaj.org/article/c169ec7d52e847a4b6d61a9d26fe1f37

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A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles

Autor: Felipe Uribe, Johnathan M. Bardsley, Yiqiu Dong, Per Christian Hansen, Nicolai A. B. Riis

Publikováno v: Uribe, F, Bardsley, J M, Dong, Y, Hansen, P C & Riis, N A B 2022, ' A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles ', SIAM-ASA Journal on Uncertainty Quantification, vol. 10, no. 3, pp. 1293-1320 . https://doi.org/10.1137/21M1412268

In computed tomography, data consist of measurements of the attenuation of X-rays passing through an object. The goal is to reconstruct the linear attenuation coeficient of the object's interior. For each position of the X-ray source, characterized b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2ea0fc5c0d0ed815043701b2a0c227
https://doi.org/10.1137/21m1412268

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Akademický článek

Area level impacts on emergency hospital admissions of the integrated care and support pioneer programme in England: difference-in-differences analysis

Autor: Nicholas Mays, Eilís Keeble, M Bardsley, Mary Alison Durand, Ties Hoomans

Publikováno v: BMJ Open, Vol 9, Iss 8 (2019)

Objective To examine whether any differential change in emergency admissions could be attributed to integrated care by comparing pioneer and non-pioneer populations from a pre-pioneer baseline period (April 2010 to March 2013) over two follow-up peri

Externí odkaz: https://doaj.org/article/da4aec23b2244c59b196716b9636d2d6

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Wildfire, Environmental Risk and Deliberative Planning in the Locarnese Region of Switzerland

Autor: Guy M. Robinson, Marco Conedera, Delene Weber, Marco Pütz, Annette M. Bardsley, Douglas K. Bardsley

Publikováno v: Environmental Management. 68:785-801

Refereed/Peer-reviewed A survey of residents in the Locarnese region of Canton Ticino, Switzerland was used to examine perceptions of exposure to environmental risk in the context of the deliberative Swiss planning system. There is a growing risk of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc4d7ebae5634fc8e8b350d41c10a8a9
https://doi.org/10.1007/s00267-021-01523-5

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Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems

Autor: Johnathan M. Bardsley, Tiangang Cui

Publikováno v: SIAM/ASA Journal on Uncertainty Quantification. 9:29-64

In many hierarchical inverse problems, not only do we want to estimate high- or infinite-dimensional model parameters in the parameter-to-observable maps, but we also have to estimate hyperparamete...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::304e838e7178029d81ce7678c154a4c5
https://doi.org/10.1137/20m1318365

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Akademický článek

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Scalable Optimization-Based Sampling on Function Space

Autor: Johnathan M. Bardsley, Youssef M. Marzouk, Zheng Wang, Tiangang Cui

Publikováno v: SIAM Journal on Scientific Computing. 42:A1317-A1347

Optimization-based samplers such as randomize-then-optimize (RTO) [2] provide an efficient and parallellizable approach to solving large-scale Bayesian inverse problems. These methods solve randomly perturbed optimization problems to draw samples fro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd632bd244e0fe41e684b823364a30b
https://doi.org/10.1137/19m1245220

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MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems

Autor: Per Christian Hansen, Johnathan M. Bardsley

Publikováno v: Bardsley, J M & Hansen, P C 2020, ' MCMC algorithms for computational UQ of nonnegativity constrained linear inverse problems ', SIAM Journal on Scientific Computing, vol. 42, no. 2, pp. A1269-A1288 . https://doi.org/10.1137/18M1234588

In many inverse problems, a nonnegativity constraint is natural. Moreover, in some cases, we expect the vector of unknown parameters to have zero components. When a Bayesian approach is taken, this motivates a desire for prior probability density (an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d34c9c546c1bca2ef344d868f1fff8a9
https://doi.org/10.1137/18m1234588

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Challenges to the co-management of biodiversity in a reflexive modernity

Autor: Emily Moskwa, Douglas K. Bardsley, Annette M. Bardsley, Delene Weber, Guy M. Robinson

The marginalisation of people from natural areas has dominated conservation approaches in post-colonial societies such as Australia. Yet the approach is limited, in part because people are also excluded from co-managing their local environments, an e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6614ac5833f84c0f15c421a259682b3d
https://hdl.handle.net/11541.2/147052

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