Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Bernard W Silverman"'
Autor:
George Nicholson, Mattias Rantalainen, Anthony D Maher, Jia V Li, Daniel Malmodin, Kourosh R Ahmadi, Johan H Faber, Ingileif B Hallgrímsdóttir, Amy Barrett, Henrik Toft, Maria Krestyaninova, Juris Viksna, Sudeshna Guha Neogi, Marc‐Emmanuel Dumas, Ugis Sarkans, The MolPAGE Consortium, Bernard W Silverman, Peter Donnelly, Jeremy K Nicholson, Maxine Allen, Krina T Zondervan, John C Lindon, Tim D Spector, Mark I McCarthy, Elaine Holmes, Dorrit Baunsgaard, Chris C Holmes
Publikováno v:
Molecular Systems Biology, Vol 7, Iss 1, Pp 1-12 (2011)
Abstract 1H Nuclear Magnetic Resonance spectroscopy (1H NMR) is increasingly used to measure metabolite concentrations in sets of biological samples for top‐down systems biology and molecular epidemiology. For such purposes, knowledge of the source
Externí odkaz:
https://doaj.org/article/f335db8f4a53437692b5541fc67ede7b
Autor:
Todd Landman, Bernard W. Silverman
Publikováno v:
Politics and Governance, Vol 7, Iss 4, Pp 275-290 (2019)
This article presents a cross-national comparative analysis of the relationship between different dimensions of globalization and modern slavery. It argues that both the economic and political dimensions of globalization are strongly associated with
Externí odkaz:
https://doaj.org/article/f97a4980bdd546ecb4674c84bda4a77e
Publikováno v:
Journal of Statistical Software, Vol 55, Iss 1, Pp 1-22 (2013)
Phase variation in functional data obscures the true amplitude variation when a typical cross-sectional analysis of these responses would be performed. Time warping or curve registration aims at eliminating the phase variation, typically by applying
Externí odkaz:
https://doaj.org/article/bfc672792c38413bbd4f07f5cd62d26e
Autor:
Iain Johnstone, Bernard W. Silverman
Publikováno v:
Journal of Statistical Software, Vol 12, Iss 1, Pp 1-38 (2005)
Suppose that a sequence of unknown parameters is observed sub ject to independent Gaussian noise. The EbayesThresh package in the S language implements a class of Empirical Bayes thresholding methods that can take advantage of possible sparsity in th
Externí odkaz:
https://doaj.org/article/726e76a3cdb24bcab1006663e0a9a130
Publikováno v:
Journal of Human Trafficking. 6:375-387
Researchers in the field of modern slavery and human trafficking have faced significant challenges in estimating the prevalence of victimization since the emergence of the field in the 1990s. 1 Human trafficking is a hidden crime, which for several r
Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and modern slavery. In such contexts, it is not uncommon to see sparse or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c70fbd2743541fba6516f3fa4713248e
Publikováno v:
Biographical Memoirs of Fellows of the Royal Society. 64:27-50
Julian Besag was an outstanding statistical scientist, distinguished for his pioneering work on the statistical theory and analysis of spatial processes, especially conditional lattice systems. His work has been seminal in statistical developments ov
Publikováno v:
Journal of Statistical Software, Vol 12, Iss 8 (2005)
Externí odkaz:
https://doaj.org/article/b5f6e677e5a041f0b6134023ef772312
Autor:
Bernard W. Silverman
Publikováno v:
Density Estimation for Statistics and Data Analysis
Introduction. Survey of Existing Methods. The Kernel Method for Univariate Data. The Kernel Method for Multivariate Data. Three Important Methods. Density Estimation in Action.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed73b79acff37e54d51d48dedf9cd6ab
https://doi.org/10.1201/9781315140919
https://doi.org/10.1201/9781315140919
Publikováno v:
Significance. 12:16-21
Victims of modern slavery are often hidden from view, making it difficult to estimate how many there are. Multiple systems estimation helped Kevin Bales, Olivia Hesketh and Bernard Silverman provide an answer