Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Wilfrid S. Kendall"'
Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many differe
Surface metrology is the area of engineering concerned with the study of geometric variation in surfaces. This paper explores the potential for modern techniques from spatial statistics to act as generative models for geometric variation in 3D-printe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8448cfac69c18a8a8f247e3573c59cfe
http://arxiv.org/abs/2111.07745
http://arxiv.org/abs/2111.07745
Autor:
Gianluca Detommaso, Pinelopi Kyvelou, Mark Girolami, Timothy Dodwell, Robert Scheichl, Craig Buchanan, L. R. Fleming, Chris J. Oates, P. D. Gosling, Leroy Gardner, Wilfrid S. Kendall
The emergence of additive manufacture (AM) for metallic material enables components of near arbitrary complexity to be produced. This has potential to disrupt traditional engineering approaches. However, metallic AM components exhibit greater levels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a494e2809e5f51203d2384a232971b29
https://www.repository.cam.ac.uk/handle/1810/335211
https://www.repository.cam.ac.uk/handle/1810/335211
Autor:
Jure Vogrinc, Wilfrid S. Kendall
For sufficiently smooth targets of product form it is known that the variance of a single coordinate of the proposal in RWM (random walk Metropolis) and MALA (Metropolis adjusted Langevin algorithm) should optimally scale as n−1 and as n−13 with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df4d43957edeb3a155dab01af8f8bc0f
http://wrap.warwick.ac.uk/140772/7/WRAP-counterexamples-optimal-scaling-metropolis-hastings-chains-rough-target-densities-Kendall-2021.pdf
http://wrap.warwick.ac.uk/140772/7/WRAP-counterexamples-optimal-scaling-metropolis-hastings-chains-rough-target-densities-Kendall-2021.pdf
Autor:
Wilfrid S. Kendall
Publikováno v:
Electron. J. Probab.
We study scale-invariant Rayleigh Random Flights (“RRF”) in random environments given by planar Scale-Invariant Random Spatial Networks (“SIRSN”) based on speed-marked Poisson line processes. A natural one-parameter family of such RRF (with s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03b7558494fe5b8792ecaa4f07c20759
http://wrap.warwick.ac.uk/142814/7/WRAP-Rayleigh-random-flights-Poisson-line-SIRSN-Kendall-2020.pdf
http://wrap.warwick.ac.uk/142814/7/WRAP-Rayleigh-random-flights-Poisson-line-SIRSN-Kendall-2020.pdf
Publikováno v:
Stochastic Processes and their Applications. 127:4053-4082
This paper develops the use of Dirichlet forms to deliver proofs of optimal scaling results for Markov chain Monte Carlo algorithms (specifically, Metropolis-Hastings random walk samplers) under regularity conditions which are substantially weaker th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87161d0fa20c2450b91f7fbb5efd1bc
https://doi.org/10.1016/j.spa.2017.03.021
https://doi.org/10.1016/j.spa.2017.03.021
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8454fca153d1b59522e9c331e53a99a
https://doi.org/10.1201/9780203738276
https://doi.org/10.1201/9780203738276
Publikováno v:
Journal of Open Source Software. 5:2474
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aae482a5435caf1da875ecead61c083
https://doi.org/10.21105/joss.02474
https://doi.org/10.21105/joss.02474
Autor:
Jason M. Warnett, Thomas E. Nichols, Wilfrid S. Kendall, Mark A. Williams, Julia Brettschneider, Audrey Kueh, Gregory John Gibbons
Publikováno v:
Journal of X-Ray Science and Technology
BACKGROUND: In computed tomography (CT), the spot geometry is one of the main sources of error in CT images. Since X-rays do not arise from a point source, artefacts are produced. In particular there is a penumbra effect, leading to poorly defined ed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bda64f9ed1a58c9c6b7454730e40eea9
https://doi.org/10.3233/xst-160576
https://doi.org/10.3233/xst-160576
Autor:
Stephen B. Connor, Wilfrid S. Kendall
Publikováno v:
Adv. in Appl. Probab. 47, no. 4 (2015), 1039-1063
In this paper we describe a perfect simulation algorithm for the stable $M/G/c$ queue. Sigman (2011: Exact Simulation of the Stationary Distribution of the FIFO M/G/c Queue. Journal of Applied Probability, 48A, 209--213) showed how to build a dominat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4391ad15ad5ecf09c4934619a87825
https://doi.org/10.1017/s0001867800049004
https://doi.org/10.1017/s0001867800049004