Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Matthew T. Moores"'
Autor:
Noel Cressie, Matthew T. Moores
Publikováno v:
Encyclopedia of Mathematical Geosciences ISBN: 9783030260507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f19aee2b898ff65ce52305cfa8a16e39
https://doi.org/10.1007/978-3-030-26050-7_31-2
https://doi.org/10.1007/978-3-030-26050-7_31-2
Publikováno v:
The Journal of Physical Chemistry. B
We propose a Bayesian statistical model for analyzing coherent anti-Stokes Raman scattering (CARS) spectra. Our quantitative analysis includes statistical estimation of constituent line-shape parameters, underlying Raman signal, error-corrected CARS
Publikováno v:
Bayesian Anal. 15, no. 1 (2020), 1-27
The inverse temperature parameter of the Potts model governs the strength of spatial cohesion and therefore has a major influence over the resulting model fit. A difficulty arises from the dependence of an intractable normalising constant on the valu
Publikováno v:
Case Studies in Applied Bayesian Data Science ISBN: 9783030425524
This chapter surveys computational methods for posterior inference with intractable likelihoods, that is where the likelihood function is unavailable in closed form, or where evaluation of the likelihood is infeasible. We survey recent developments i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db5189f0b758d655e2dd37e4feb3cc1
https://doi.org/10.1007/978-3-030-42553-1_6
https://doi.org/10.1007/978-3-030-42553-1_6
Publikováno v:
Computational Statistics & Data Analysis. 118:1-17
The grouped independence Metropolis–Hastings (GIMH) and Markov chain within Metropolis (MCWM) algorithms are pseudo-marginal methods used to perform Bayesian inference in latent variable models. These methods replace intractable likelihood calculat
Autor:
Kerry Harding, Matthew T. Moores, Karen Faulds, Mark Girolami, W. Ewen Smith, Duncan Graham, Kirsten Gracie
Publikováno v:
Analytical Chemistry. 88:1147-1153
A significant advantage of using surface enhanced Raman scattering (SERS) for DNA detection is the capability to detect multiple analytes simultaneously within the one sample. However, as the analytes approach the metallic surface required for SERS,
Autor:
Paul Garside, Naveed Sattar, Kirsten Gracie, Pasquale Maffia, Duncan Graham, Angela C. Bradshaw, Hannah E. Scales, Karen Faulds, Mark Girolami, Iain B. McInnes, Neil MacRitchie, Gianluca Grassia, Matthew T. Moores, Steven Asiala, Jonathan Noonan, James M. Brewer, Jake Carson, Gavin R. Meehan, Tomasz J. Guzik
Publikováno v:
Theranostics
Vascular immune-inflammatory responses play a crucial role in the progression and outcome of atherosclerosis. The ability to assess localized inflammation through detection of specific vascular inflammatory biomarkers would significantly improve card
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ac3e3919da931947e785f6f13a85ef
http://hdl.handle.net/10044/1/66127
http://hdl.handle.net/10044/1/66127
Autor:
Matthew T. Moores, Kerrie Mengersen, Julie-Anne Miller, Catriona Hargrave, Jillian Becker, Robyn Guidi, Nicole Mason, Fiona Harden, Michael Poulsen
Publikováno v:
Journal of Medical Radiation Sciences
Introduction Time‐consuming manual methods have been required to register cone‐beam computed tomography (CBCT) images with plans in the Pinnacle3 treatment planning system in order to replicate delivered treatments for adaptive radiotherapy. Thes
Autor:
Elizabeth A. Heron, Cathal Walsh, Matthew G. Falk, Daniela Leonte, Anthony N. Pettitt, Samuel Clifford, Matthew T. Moores, Clair L. Alston, Clare A. McGrory, Kerrie Mengersen
Publikováno v:
Environmental and Ecological Statistics. 22:571-600
From remote sensing of the environment, to brain scans in medicine, the growth in the use of image data has motivated a parallel increase in statistical techniques for analysing these images. A particular area of growth has been in Bayesian models an
Publikováno v:
Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), 2015, 25 (1), pp.23-33
Statistics and Computing, Springer Verlag (Germany), 2015, 25 (1), pp.11. ⟨10.1007/s11222-014-9525-6⟩
Statistics and Computing, Springer Verlag (Germany), 2015, 25 (1), pp.23-33
Statistics and Computing, Springer Verlag (Germany), 2015, 25 (1), pp.11. ⟨10.1007/s11222-014-9525-6⟩
Most of the existing algorithms for approximate Bayesian computation (ABC) assume that it is feasible to simulate pseudo-data from the model at each iteration. However, the computational cost of these simulations can be prohibitive for high dimension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecb4df3f054b732aa7eb6e7f9674ff91
https://hal.archives-ouvertes.fr/hal-01961135
https://hal.archives-ouvertes.fr/hal-01961135