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  • Search: person:"Eilers, P. H. C."
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Article 2 Book / Working Paper 1
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Eilers, P. H. C. 2 Heim, S. 2 Currie, I. D. 1 Durban, M. 1 Eilers, P.H.C. 1 Fahrmeir, L. 1 Fahrmeir, Ludwig 1 Marx, B. D. 1 Marx, B.D. 1
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Computational Statistics & Data Analysis 1 Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München 1 Journal of the Royal Statistical Society Series B 1
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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3D space-varying coefficient models with application to diffusion tensor imaging
Heim, S.; Fahrmeir, L.; Eilers, P.H.C.; Marx, B.D. - In: Computational Statistics & Data Analysis 51 (2007) 12, pp. 6212-6228
Persistent link: https://www.econbiz.de/10005172187
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Generalized linear array models with applications to multidimensional smoothing
Currie, I. D.; Durban, M.; Eilers, P. H. C. - In: Journal of the Royal Statistical Society Series B 68 (2006) 2, pp. 259-280
Data with an array structure are common in statistics, and the design or regression matrix for analysis of such data can often be written as a Kronecker product. Factorial designs, contingency tables and smoothing of data on multidimensional grids are three such general classes of data and...
Persistent link: https://www.econbiz.de/10005202983
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Space-varying coefficient models for brain imaging
Heim, S.; Fahrmeir, Ludwig; Eilers, P. H. C.; Marx, B. D. - 2005
The methodological development and the application in this paper originate from diffusion tensor imaging (DTI), a powerful nuclear magnetic resonance technique enabling diagnosis and monitoring of several diseases as well as reconstruction of neural pathways. We reformulate the current analysis...
Persistent link: https://www.econbiz.de/10003310074
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