Dr. Alexander Silbersdorff

Staff Status
unigoe
 

1-22 of 22
 
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  • 2022 Journal Article
    ​ ​Firm-level energy rebound effects and relative efficiency in the German manufacturing sector​
    Berner, A. ; Lange, S. & Silbersdorff, A. ​ (2022) 
    Energy Economics109 art. S0140988322000834​.​ DOI: https://doi.org/10.1016/j.eneco.2022.105903 
    Details  DOI 
  • 2022 Journal Article
    ​ ​Model averaging for linear mixed models via augmented Lagrangian​
    Kruse, R.-M.; Silbersdorff, A.   & Säfken, B.​ (2022) 
    Computational Statistics & Data Analysis167 art. S0167947321001857​.​ DOI: https://doi.org/10.1016/j.csda.2021.107351 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​Introductory data science across disciplines, using Python, case studies, and industry consulting projects​
    Lasser, J.; Manik, D.; Silbersdorff, A. ; Säfken, B. & Kneib, T. ​ (2021) 
    Teaching Statistics43 pp. S190​-S200​.​ DOI: https://doi.org/10.1111/test.12243 
    Details  DOI 
  • 2021 Anthology | 
    ​ ​Learning Deep Textwork: ​Perspectives on Natural Language Processing and Artificial Intelligence​ ​
    Kruse, R.-M.; Säfken, B.; Silbersdorff, A.  & Weisser, C.​ (Eds.) (2021)
    Göttingen: ​Universitätsverlag Göttingen. DOI: https://doi.org/10.17875/gup2021-1608 
    Details  DOI 
  • 2020 Book Chapter
    ​ ​Sign Language Recognition Using Regularized Convolutional Neural Networks​
    Thielmann, A.; Seifert, Q. E.  & Lichter, J.​ (2020)
    In:​Säfken, Benjamin; Silbersdorff, Alexander; Weisser, Christoph​ (Eds.), Learning Deep - Perspectives on Deep Learning Algorithms and Artificial Intelligence
    Details 
  • 2020 Anthology | 
    ​ ​Learning deep: ​Perspectives on Deep Learning Algorithms and Artificial Intelligence​ ​
    Säfken, B.; Silbersdorff, A.  & Weisser, C.​ (Eds.) (2020)
    Göttingen: ​Universitätsverlag Göttingen. DOI: https://doi.org/10.17875/gup2020-1338 
    Details  DOI 
  • 2019 Book Chapter
    ​ ​Mehr als Durchschnittsstatistik: ​Eine kritische Einführung in Regressionsmethoden jenseits des Mittelwertes​
    Hohberg, M. ; Silbersdorff, A.  & Kneib, T. ​ (2019)
    In: Perspektiven einer pluralen Ökonomik pp. 231​-255.  DOI: https://doi.org/10.1007/978-3-658-16145-3_10 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Distributional Regression Techniques in Socioeconomic Research on the Inequality of Health with an Application on the Relationship between Mental Health and Income​
    Silbersdorff, A.   & Schneider, K. S.​ (2019) 
    International Journal of Environmental Research and Public Health16(20) pp. 4009​.​ DOI: https://doi.org/10.3390/ijerph16204009 
    Details  DOI 
  • 2018 Journal Article
    ​ ​A Markov-switching generalized additive model for compound Poisson processes, with applications to operational loss models​
    Hambuckers, J.; Kneib, T. ; Langrock, R. & Silbersdorff, A. ​ (2018) 
    Quantitative Finance18(10) pp. 1679​-1698​.​ DOI: https://doi.org/10.1080/14697688.2017.1417625 
    Details  DOI 
  • 2018 Journal Article
    ​ ​Reconsidering the income-health relationship using distributional regression​
    Silbersdorff, A. ; Lynch, J.; Klasen, S. & Kneib, T. ​ (2018) 
    Health Economics27(7) pp. 1074​-1088​.​ DOI: https://doi.org/10.1002/hec.3656 
    Details  DOI  PMID  PMC 
  • 2017 Preprint
    ​ ​A Markov-Switching Generalized Additive Model for Compound Poisson Processes, with Applications to Operational Losses Models​
    Hambuckers, J.; Kneib, T. ; Langrock, R.& Silbersdorff, A. ​ (2017)
    Details 
  • 2016 Journal Article | Research Paper
    ​ ​A Semiparametric Analysis of Conditional Income Distributions​
    Sohn, A. ; Klein, N.   & Kneib, T. ​ (2016) 
    Schmollers Jahrbuch135(1) pp. 13​-22​.​ DOI: https://doi.org/10.3790/schm.135.1.13 
    Details  DOI 
  • 2016 Journal Article
    ​ ​Poor university professors? The relative earnings decline of German professors during the twentieth century​
    Sohn, A. ​ (2016) 
    Scandinavian Economic History Review64(2) pp. 84​-102​.​ DOI: https://doi.org/10.1080/03585522.2016.1175374 
    Details  DOI 
  • 2016 Journal Article | Erratum | 
    ​ ​Correction: Bayesian structured additive distributional regression with an application to regional income inequality in Germany​
    Klein, N. ; Kneib, T. ; Lang, S. & Sohn, A. ​ (2016) 
    The Annals of Applied Statistics10(2) pp. 1135​-1136​.​ DOI: https://doi.org/10.1214/16-AOAS922 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Nonparametric inference in hidden Markov models using P-splines​
    Langrock, R. ; Kneib, T. ; Sohn, A.   & Ruiter, S. L. de​ (2015) 
    Biometrics71(2) pp. 520​-528​.​ DOI: https://doi.org/10.1111/biom.12282 
    Details  DOI 
  • 2015 Journal Article
    ​ ​Bayesian structured additive distributional regression with an application to regional income inequality in Germany​
    Klein, N. ; Kneib, T. ; Lang, S. & Sohn, A. ​ (2015) 
    The Annals of Applied Statistics9(2) pp. 1024​-1052​.​ DOI: https://doi.org/10.1214/15-aoas823 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​Six years ahead: a longitudinal analysis regarding course and predictive value of the Strengths and Difficulties Questionnaire (SDQ) in children and adolescents (vol 24, pg 715, 2015)​
    Becker, A. ; Rothenberger, A. ; Sohn, A. ; Ravens-Sieberer, U. & Klasen, F.​ (2015) 
    European Child & Adolescent Psychiatry24(6).​ DOI: https://doi.org/10.1007/s00787-015-0706-4 
    Details  DOI  PMID  PMC  WoS 
  • 2015 Journal Article
    ​ ​Six years ahead: a longitudinal analysis regarding course and predictive value of the Strengths and Difficulties Questionnaire (SDQ) in children and adolescents​
    Becker, A. ; Rothenberger, A.   & Sohn, A. ​ (2015) 
    European Child & Adolescent Psychiatry24(6) pp. 715​-725​.​ DOI: https://doi.org/10.1007/s00787-014-0640-x 
    Details  DOI  PMID  PMC  WoS 
  • 2014 Journal Article
    ​ ​Semiparametric stochastic volatility modelling using penalized splines​
    Langrock, R. ; Michelot, T.; Sohn, A.   & Kneib, T. ​ (2014) 
    Computational Statistics30(2) pp. 517​-537​.​ DOI: https://doi.org/10.1007/s00180-014-0547-5 
    Details  DOI 
  • 2014 Report
    ​ ​A New Semiparametric Approach to Analysing Conditional Income Distributions​
    Sohn, A. ; Klein, N.& Kneib, T. ​ (2014). DOI: https://doi.org/10.2139/ssrn.2404335 
    Details  DOI 
  • 2013 Preprint
    ​ ​Nonparametric inference in hidden Markov models using P-splines​
    Langrock, R.; Kneib, T. ; Sohn, A.  & DeRuiter, S.​ (2013)
    Details  arXiv 
  • 2013 Preprint
    ​ ​Semiparametric stochastic volatility modelling using penalized splines​
    Langrock, R.; Michelot, T.; Sohn, A.  & Kneib, T. ​ (2013)
    Details  arXiv 

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