Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Werner A. Stahel."'
Autor:
Werner A Stahel
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252991 (2021)
The p-value has been debated exorbitantly in the last decades, experiencing fierce critique, but also finding some advocates. The fundamental issue with its misleading interpretation stems from its common use for testing the unrealistic null hypothes
Externí odkaz:
https://doaj.org/article/82174219063748e5a3f986de2dfd280d
Publikováno v:
Journal of Statistical Software, Vol 63, Iss 1, Pp 1-23 (2015)
The R package spate implements methodology for modeling of large space-time data sets. A spatio-temporal Gaussian process is defined through a stochastic partial differential equation (SPDE) which is solved using spectral methods. In contrast to the
Externí odkaz:
https://doaj.org/article/a13e575ff02240d0b08df3dc77050e4c
Autor:
Eckhard Limpert, Werner A Stahel
Publikováno v:
PLoS ONE, Vol 6, Iss 7, p e21403 (2011)
BACKGROUND: The gaussian or normal distribution is the most established model to characterize quantitative variation of original data. Accordingly, data are summarized using the arithmetic mean and the standard deviation, by mean ± SD, or with the s
Externí odkaz:
https://doaj.org/article/ca6d26eeba404877b71342a35cf7f35a
Autor:
Werner A. Stahel, Manuel Koller
Publikováno v:
Koller, Manuel; Stahel, Werner A. (2017). Nonsingular subsampling for regression S estimators with categorical predictors. Computational Statistics, 32(2), pp. 631-646. Springer 10.1007/s00180-016-0679-x
Simple random subsampling is an integral part of S estimation algorithms for linear regression. Subsamples are required to be nonsingular. Usually, discarding a singular subsample and drawing a new one leads to a sufficient number of non- singular su
Autor:
Werner A. Stahel, Andreas Caduff, Mark S. Talary, Achim Krebs, Pavel Zakharov, Martin Mueller, Marc Y. Donath, Mattia Zanon
Background: Extensive past work showed that noninvasive continuous glucose monitoring with a wearable Multisensor device worn on the upper arm provides useful information about glucose trends to improve diabetes therapy in controlled and semicontroll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd52c3e222f0c159a9a6859ed917fbf
https://europepmc.org/articles/PMC6154235/
https://europepmc.org/articles/PMC6154235/
Autor:
Marc Y. Donath, Pavel Zakharov, Mark S. Talary, Mattia Zanon, Andreas Caduff, Werner A. Stahel, Martin Mueller
Publikováno v:
Journal of diabetes science and technology. 12(3)
Background: Extensive past work showed that noninvasive continuous glucose monitoring with a wearable multisensor device worn on the upper arm provides useful information about glucose trends to improve diabetes therapy in controlled and semicontroll
Autor:
Robert Riener, Anja Kollmar, Armin Curt, Tobias Nef, Andreas R. Luft, Morena Felder, Verena Klamroth-Marganska, Corina Schuster-Amft, Volker Dietz, Bernd A. G. Fellinghauer, Katrin Campen, Werner A. Stahel, Thierry Ettlin, Javier Blanco, Marco Guidali
Publikováno v:
The Lancet Neurology. 13:159-166
Summary Background Arm hemiparesis secondary to stroke is common and disabling. We aimed to assess whether robotic training of an affected arm with ARMin—an exoskeleton robot that allows task-specific training in three dimensions—reduces motor im
Autor:
Werner A. Stahel
Publikováno v:
Reproducibility: Principles, Problems, Practices, and Prospects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3317690d884f4753a6baf5323146f90
https://doi.org/10.1002/9781118865064.ch5
https://doi.org/10.1002/9781118865064.ch5
Autor:
Werner A. Stahel, Manuel Koller
Publikováno v:
Computational Statistics & Data Analysis. 55:2504-2515
The datasets used in statistical analyses are often small in the sense that the number of observations n is less than 5 times the number of parameters p to be estimated. In contrast, methods of robust regression are usually optimized in terms of asym
Autor:
A. Megej, Dominik Schaub, Roland E. Suri, Mark S. Talary, François Dewarrat, Jelena Klisic, Werner A. Stahel, Andreas Caduff, Martin Mueller, Pavel Zakharov, Marc Y. Donath
Publikováno v:
Biosensors & bioelectronics
The Multisensor Glucose Monitoring System (MGMS) features non invasive sensors for dielectric characterisation of the skin and underlying tissue in a wide frequency range (1 kHz–100 MHz, 1 and 2 GHz) as well as optical characterisation. In this pap