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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Analyzing speech in both time and space: Generalized additive mixed models can uncover systematic patterns of variation in vocal tract shape in real-time MRI Carignan, Christopher; Hoole, Phil; Kunay, Esther... In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 11, No 1 (2020); 2 ; 1868-6354 (2020) BASE Show details 2 Analyzing speech in both time and space : generalized additive mixed models can uncover systematic patterns of variation in vocal tract shape in real-time MRI Carignan, Christopher (R18263); Hoole, Phil; Kunay, Esther. - : U.K., Ubiquity Press, 2020 BASE Show details 3 Functional linear mixed models for irregularly or sparsely sampled data Cederbaum, Jona; Pouplier, Marianne; Hoole, Phil; Greven, Sonja In: Statistical Modelling (2016) Abstract: We propose an estimation approach to analyse correlated functional data, which are observed on unequal grids or even sparsely. The model we use is a functional linear mixed model, a functional analogue of the linear mixed model. Estimation is based on dimension reduction via functional principal component analysis and on mixed model methodology. Our procedure allows the decomposition of the variability in the data as well as the estimation of mean effects of interest, and borrows strength across curves. Confidence bands for mean effects can be constructed conditionally on estimated principal components. We provide R-code implementing our approach in an online appendix. The method is motivated by and applied to data from speech production research. Keyword: ddc:510; Statistik; Statistische Methoden für longitudinale funktionale Daten URL: http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-31592-1 https://epub.ub.uni-muenchen.de/31592/ https://doi.org/10.1177/1471082X15617594 https://epub.ub.uni-muenchen.de/31592/1/1471082x15617594.pdf BASE Hide details 4 Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data ... Cederbaum, Jona; Pouplier, Marianne; Hoole, Phil. - : arXiv, 2015 BASE Show details 5 Consonant Clusters and Structural Complexity Hoole, Phil; Bombien, Lasse; Pouplier, Marianne. - : HAL CCSD, 2012. : de Gryuter, 2012 In: https://hal.archives-ouvertes.fr/hal-00757012 ; de Gryuter, pp.409, 2012, 978-1-61451-077-2 (2012) BASE Show details 6 System-Related Variation Hoole, Phil; Kühnert, Barbara; Pouplier, Marianne In: The Oxford Handbook of Laboratory Phonology ; https://halshs.archives-ouvertes.fr/halshs-00681954 ; A. Cohn, C. Fougeron & M.K. Huffman. The Oxford Handbook of Laboratory Phonology, Oxford University Press, pp.115-130, 2012, Oxford Handbooks in Linguistics (2012) BASE Show details

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