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pro vyhledávání: '"Forbes, Peter"'
Akademický článek
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Autor:
Al-Samkari, Hanny *, van Beers, Eduard J., Morton, D. Holmes, Eber, Stefan W., Chonat, Satheesh, Kuo, Kevin H.M., Kollmar, Nina, Wang, Heng, Breakey, Vicky R., Sheth, Sujit, Sharma, Mukta, Forbes, Peter W., Klaassen, Robert J., Grace, Rachael F.
Publikováno v:
In Blood Advances 22 March 2022 6(6):1844-1853
Autor:
Forbes, Peter G. M.
Part I presents a model for fingerprint matching using Bayesian alignment on unlabelled point sets. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio between the hypothesis that an observed fingerprint and fin
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627866
We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finge
Externí odkaz:
http://arxiv.org/abs/1407.5809
Autor:
Forbes, Peter G. M., Mardia, Kanti V.
Motivated by molecular biology, there has been an upsurge of research activities in directional statistics in general and its Bayesian aspect in particular. The central distribution for the circular case is von Mises distribution which has two parame
Externí odkaz:
http://arxiv.org/abs/1402.3569
Autor:
SANDERS, SCOTT RUSSELL, Forbes, Peter
Publikováno v:
The Georgia Review, 2019 Apr 01. 73(1), 53-64.
Externí odkaz:
https://www.jstor.org/stable/26666796
Autor:
Forbes, Peter G. M.
Publikováno v:
Biometrika (2012) 99 (4): 989-994
Many proper scoring rules such as the Brier and log scoring rules implicitly reward a probability forecaster relative to a uniform baseline distribution. Recent work has motivated weighted proper scoring rules, which have an additional baseline param
Externí odkaz:
http://arxiv.org/abs/1311.1131
In many families of distributions, maximum likelihood estimation is intractable because the normalization constant for the density which enters into the likelihood function is not easily available. The score matching estimator of Hyv\"arinen (2005) p
Externí odkaz:
http://arxiv.org/abs/1311.0662