Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Einbeck, Jochen"'
A goodness-of-fit diagnostic for count data derived from half-normal plots with a simulated envelope
Autor:
Jayakumari, Darshana, Einbeck, Jochen, Hinde, John, Mainguy, Julien, Moral, Rafael de Andrade
Traditional methods of model diagnostics may include a plethora of graphical techniques based on residual analysis, as well as formal tests (e.g. Shapiro-Wilk test for normality and Bartlett test for homogeneity of variance). In this paper we derive
Externí odkaz:
http://arxiv.org/abs/2405.05121
Autor:
Zhang, Yingjuan1 (AUTHOR) yingjuan.zhang@durham.ac.uk, Einbeck, Jochen1,2 (AUTHOR) jochen.einbeck@durham.ac.uk
Publikováno v:
Algorithms. Aug2024, Vol. 17 Issue 8, p358. 21p.
We propose a cautious Bayesian variable selection routine by investigating the sensitivity of a hierarchical model, where the regression coefficients are specified by spike and slab priors. We exploit the use of latent variables to understand the imp
Externí odkaz:
http://arxiv.org/abs/2204.13341
Autor:
Einbeck, Jochen
HASH(0x62d0fc0)
HASH(0x63368a0)
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Externí odkaz:
http://edoc.ub.uni-muenchen.de/1568/1/Einbeck_Jochen.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:19-15686
http://nbn-resolving.de/urn:nbn:de:bvb:19-15686
Proteins are essential for maintaining life. For example, knowing the structure of a protein, cell regulatory mechanisms of organisms can be modeled, supporting the development of disease treatments or the understanding of relationships between prote
Externí odkaz:
http://arxiv.org/abs/1901.01059
Publikováno v:
In Infant Behavior and Development May 2023 71
Shape information is of great importance in many applications. For example, the oil-bearing capacity of sand bodies, the subterranean remnants of ancient rivers, is related to their cross-sectional shapes. The analysis of these shapes is therefore of
Externí odkaz:
http://arxiv.org/abs/1802.09631
Autor:
Almohaimeed, Amani1 (AUTHOR) ama.almohaimeed@qu.edu.sa, Einbeck, Jochen2 (AUTHOR) jochen.einbeck@durham.ac.uk
Publikováno v:
Viruses (1999-4915). Jul2023, Vol. 15 Issue 7, p1572. 15p.
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