Statistical Modelling

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Sage
 
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  • 2023 | Journal Article
    ​ ​A multilevel analysis of real estate valuation using distributional and quantile regression​
    Razen, A.; Brunauer, W.; Klein, N.; Kneib, T.; Lang, S. & Umlauf, N.​ (2023) 
    Statistical Modelling, art. 1471082X2311572​.​ DOI: https://doi.org/10.1177/1471082X231157205 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx​
    Eilers, P. H. & Kneib, T.​ (2023) 
    Statistical Modelling, 23(5-6) pp. 407​-408​.​ DOI: https://doi.org/10.1177/1471082X231201705 
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Bayesian discrete conditional transformation models​
    Carlan, M. & Kneib, T. ​ (2022) 
    Statistical Modelling, art. 1471082X2211141​.​ DOI: https://doi.org/10.1177/1471082X221114177 
    ​Details  DOI 
  • 2021 | Journal Article | 
    ​ ​Interactively visualizing distributional regression models with distreg.vis​
    Stadlmann, S. & Kneib, T. ​ (2021) 
    Statistical Modelling, 22(6) pp. 527​-545​.​ DOI: https://doi.org/10.1177/1471082X211007308 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Spatio-temporal expectile regression models​
    Kneib, T. ; Otto-Sobotka, F. & Spiegel, E.​ (2020) 
    Statistical Modelling, 20(4) art. 1471082X1982994​.​ DOI: https://doi.org/10.1177/1471082X19829945 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​A primer on Bayesian distributional regression​
    Umlauf, N. & Kneib, T. ​ (2018) 
    Statistical Modelling, 18(3-4) pp. 219​-247​.​ DOI: https://doi.org/10.1177/1471082X18759140 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​A generalized additive model approach to time-to-event analysis​
    Bender, A.; Groll, A.   & Scheipl, F.​ (2018) 
    Statistical Modelling, 18(3-4) pp. 299​-321​.​ DOI: https://doi.org/10.1177/1471082X17748083 
    ​Details  DOI 
  • 2018 | Journal Article | Editorial Contribution (Editorial, Introduction, Epilogue)
    ​ ​Editorial 'Bridging the gap between methodology and applications: Tutorials on semiparametric regression'​
    Groll, A.; Kneib, T.   & Mayr, A.​ (2018) 
    Statistical Modelling, 18(3-4) pp. 199​-202​.​ DOI: https://doi.org/10.1177/1471082X18761252 
    ​Details  DOI 
  • 2018 | Journal Article | Research Paper
    ​ ​Quantile regression: A short story on how and why​
    Waldmann, E. ​ (2018) 
    Statistical Modelling, 18(3-4) pp. 203​-218​.​ DOI: https://doi.org/10.1177/1471082x18759142 
    ​Details  DOI 
  • 2015 | Journal Article
    ​ ​Expectile and quantile regression-David and Goliath?​
    Waltrup, L. S.; Sobotka, F.; Kneib, T.   & Kauermann, G.​ (2015) 
    Statistical Modelling, 15(5) pp. 433​-456​.​ DOI: https://doi.org/10.1177/1471082X14561155 
    ​Details  DOI  WoS 
  • 2014 | Journal Article
    ​ ​Bayesian bivariate quantile regression​
    Waldmann, E.   & Kneib, T. ​ (2014) 
    Statistical Modelling, 15(4) pp. 326​-344​.​ DOI: https://doi.org/10.1177/1471082x14551247 
    ​Details  DOI 
  • 2014 | Journal Article
    ​ ​Regularization and model selection with categorical predictors and effect modifiers in generalized linear models​
    Oelker, M.-R.; Gertheiss, J. & Tutz, G.​ (2014) 
    Statistical Modelling, 14(2) pp. 157​-177​.​ DOI: https://doi.org/10.1177/1471082X13503452 
    ​Details  DOI  WoS 
  • 2013 | Journal Article
    ​ ​Rejoinder​
    Kneib, T. ​ (2013) 
    Statistical Modelling, 13(4) pp. 373​-385​.​ DOI: https://doi.org/10.1177/1471082X13494531 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | 
    ​ ​Beyond mean regression​
    Kneib, T. ​ (2013) 
    Statistical Modelling, 13(4) pp. 275​-303​.​ DOI: https://doi.org/10.1177/1471082X13494159 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | 
    ​ ​Bayesian semiparametric additive quantile regression​
    Yue, Y. R.; Lang, S.; Flexeder, C.; Waldmann, E.   & Kneib, T. ​ (2013) 
    Statistical Modelling, 13(3) pp. 223​-252​.​ DOI: https://doi.org/10.1177/1471082x13480650 
    ​Details  DOI 
  • 2011 | Journal Article
    ​ ​Building Cox-type structured hazard regression models with time-varying effects​
    Hofner, B.; Kneib, T. ; Hartl, W. & Küchenhoff, H.​ (2011) 
    Statistical Modelling, 11(1) pp. 3​-24​.​ DOI: https://doi.org/10.1177/1471082x1001100102 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Flexible hazard ratio curves for continuous predictors in multi-state models​
    Cadarso-Suárez, C.; Meira-Machado, L.; Kneib, T.   & Gude, F.​ (2010) 
    Statistical Modelling, 10(3) pp. 291​-314​.​ DOI: https://doi.org/10.1177/1471082X0801000303 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Flexible hazard ratio curves for continuous predictors in multi-state models: an application to breast cancer data​
    Cadarso-Suarez, C.; Meira-Machado, L.; Kneib, T.   & Gude, F.​ (2010) 
    Statistical Modelling, 10(3) pp. 291​-314​.​ DOI: https://doi.org/10.1177/1471082x0801000303 
    ​Details  DOI 
  • 2008 | Journal Article
    ​ ​Bayesian semi parametric multi-state models​
    Kneib, T.   & Hennerfeind, A.​ (2008) 
    Statistical Modelling, 8(2) pp. 169​-198​.​ DOI: https://doi.org/10.1177/1471082x0800800203 
    ​Details  DOI 

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