Journal of the Royal Statistical Society. Series C, Applied Statistics

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  • 2023 | Journal Article
    ​ ​Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses​
    Riebl, H.; Klein, N. & Kneib, T.​ (2023) 
    Journal of the Royal Statistical Society Series C: Applied Statistics, art. qlad015​.​ DOI: https://doi.org/10.1093/jrsssc/qlad015 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-2​
    Wiechers, H.; Eltzner, B.; Mardia, K. V & Huckemann, S. F​ (2023) 
    Journal of the Royal Statistical Society Series C: Applied Statistics, art. qlad004​.​ DOI: https://doi.org/10.1093/jrsssc/qlad004 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Confidence tubes for curves on SO(3) and identification of subject-specific gait change after kneeling​
    Telschow, F. J E; Pierrynowski, M. R & Huckemann, S. F​ (2023) 
    Journal of the Royal Statistical Society Series C: Applied Statistics, art. qlad060​.​ DOI: https://doi.org/10.1093/jrsssc/qlad060 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Characteristic and necessary minutiae in fingerprints​
    Wieditz, J.; Pokern, Y.; Schuhmacher, D.   & Huckemann, S. ​ (2021) 
    Journal of the Royal Statistical Society: Series C (Applied Statistics), art. rssc.12520​.​ DOI: https://doi.org/10.1111/rssc.12520 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Beyond unidimensional poverty analysis using distributional copula models for mixed ordered‐continuous outcomes​
    Hohberg, M. ; Donat, F.; Marra, G. & Kneib, T. ​ (2021) 
    Journal of the Royal Statistical Society: Series C (Applied Statistics), 70(5) pp. 1365​-1390​.​ DOI: https://doi.org/10.1111/rssc.12517 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Detecting anisotropy in fingerprint growth​
    Markert, K.; Krehl, K.; Gottschlich, C.   & Huckemann, S. ​ (2019) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics, 68(4) pp. 1007​-1027​.​ DOI: https://doi.org/10.1111/rssc.12343 
    ​Details  DOI 
  • 2018 | Journal Article | 
    ​ ​A dose finding design for seizure reduction in neonates​
    Ursino, M.; Yuan, Y.; Alberti, C.; Comets, E.; Favrais, G.; Friede, T. & Lentz, F. et al.​ (2018) 
    Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(2) pp. 427​-444​.​ DOI: https://doi.org/10.1111/rssc.12289 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Source estimation for propagation processes on complex networks with an application to delays in public transportation systems​
    Manitz, J. ; Harbering, J. ; Schmidt, M.; Kneib, T.   & Schoebel, A. ​ (2016) 
    Journal of the Royal Statistical Society. Series C, Applied statistics, 66(3) pp. 521​-536​.​ DOI: https://doi.org/10.1111/rssc.12176 
    ​Details  DOI 
  • 2015 | Journal Article
    ​ ​Bayesian structured additive distributional regression for multivariate responses​
    Klein, N. ; Kneib, T. ; Klasen, S.   & Lang, S.​ (2015) 
    Journal of the Royal Statistical Society. Series C, Applied statistics, 64(4) pp. 569​-591​.​ DOI: https://doi.org/10.1111/rssc.12090 
    ​Details  DOI 
  • 2013 | Journal Article
    ​ ​Estimating the relationship between women's education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression​
    Sobotka, F.; Radice, R.; Marra, G. & Kneib, T. ​ (2013) 
    Journal of the Royal Statistical Society. Series C, Applied statistics, 62(1) pp. 25​-45​.​ DOI: https://doi.org/10.1111/j.1467-9876.2012.01050.x 
    ​Details  DOI 
  • 2012 | Journal Article
    ​ ​Generalized additive models for location, scale and shape for high dimensional data-a flexible approach based on boosting​
    Mayr, A.; Fenske, N.; Hofner, B.; Kneib, T.   & Schmid, M.​ (2012) 
    Journal of the Royal Statistical Society. Series C, Applied statistics, 61(3) pp. 403​-427​.​ DOI: https://doi.org/10.1111/j.1467-9876.2011.01033.x 
    ​Details  DOI 
  • 2012 | Journal Article
    ​ ​Blinded continuous monitoring of nuisance parameters in clinical trials​
    Friede, T. & Miller, F.​ (2012) 
    Journal of the Royal Statistical Society Series C (Applied Statistics), 61 pp. 601​-618​.​ DOI: https://doi.org/10.1111/j.1467-9876.2011.01029.x 
    ​Details  DOI  WoS 
  • 2010 | Journal Article
    ​ ​High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance​
    Kneib, T. ; Konrath, S. & Fahrmeir, L.​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied statistics, 60(1) pp. 51​-70​.​ DOI: https://doi.org/10.1111/j.1467-9876.2010.00723.x 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Bayesian geoadditive sample selection models​
    Wiesenfarth, M.   & Kneib, T. ​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied statistics, 59(3) pp. 381​-404​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.00698.x 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
    Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics, 59 pp. 127​-143​.​
    ​Details  WoS 
  • 2009 | Journal Article
    ​ ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
    Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2009) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics, 59(1) pp. 127​-143​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.683.x 
    ​Details  DOI 

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