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ORCIDGöran Kauermann
Person information
- affiliation: Ludwig Maximilians University Munich, Department of Statistics, Germany
- affiliation: Bielefeld University, Germany
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2020 – today
- 2020
[j21]Göran Kauermann, Michael Windmann, Ralf T. Münnich:
Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik. AStA Wirtschafts und Sozialstatistisches Arch. 14(2): 145-162 (2020)- [j20]Göran Kauermann:
Data Science - Einige Gedanken aus Sicht eines Statistikers. Inform. Spektrum 42(6): 387-393 (2020) - [c1]Anne Beyer, Göran Kauermann, Hinrich Schütze:
Embedding Space Correlation as a Measure of Domain Similarity. LREC 2020: 2431-2439
2010 – 2019
- 2019
- [j19]Verena Bauer
, Karl Fürlinger, Göran Kauermann:
A note on parallel sampling in Markov graphs. Comput. Stat. 34(3): 1087-1107 (2019) - [i1]Cornelius Fritz, Michael Lebacher, Göran Kauermann:
Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. CoRR abs/1905.10351 (2019) - 2018
- [j18]Göran Kauermann, Thomas Seidl:
Data Science: a proposal for a curriculum. Int. J. Data Sci. Anal. 6(3): 195-199 (2018) - 2017
- [j17]Linda Schulze Waltrup, Göran Kauermann:
Smooth expectiles for panel data using penalized splines. Stat. Comput. 27(1): 271-282 (2017) - [j16]Stephanie Thiemichen, Göran Kauermann:
Stable exponential random graph models with non-parametric components for large dense networks. Soc. Networks 49: 67-80 (2017) - 2016
- [j15]Göran Kauermann, Helmut Küchenhoff:
Statistik, Data Science und Big Data. AStA Wirtschafts und Sozialstatistisches Arch. 10(2-3): 141-150 (2016) - [j14]Göran Kauermann, Michael Windmann:
Mietspiegel heute. AStA Wirtschafts und Sozialstatistisches Arch. 10(4): 205-223 (2016) - [j13]Stephanie Thiemichen, Nial Friel, Alberto Caimo, Göran Kauermann:
Bayesian exponential random graph models with nodal random effects. Soc. Networks 46: 11-28 (2016) - 2014
- [j12]Göran Kauermann, Renate Meyer:
Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas. Comput. Stat. 29(1): 283-306 (2014) - [j11]Göran Kauermann, Christian Schellhase:
Flexible pair-copula estimation in D-vines using bivariate penalized splines. Stat. Comput. 24(6): 1081-1100 (2014) - 2013
- [j10]Fabian Sobotka, Göran Kauermann, Linda Schulze Waltrup, Thomas Kneib:
On confidence intervals for semiparametric expectile regression. Stat. Comput. 23(2): 135-148 (2013) - 2012
- [j9]Christian Schellhase, Göran Kauermann:
Density estimation and comparison with a penalized mixture approach. Comput. Stat. 27(4): 757-777 (2012) - 2011
- [j8]Göran Kauermann, Michael Wegener:
Functional variance estimation using penalized splines with principal component analysis. Stat. Comput. 21(2): 159-171 (2011) - 2010
- [j7]Göran Kauermann, Karl Mosler:
Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. 4(1): 1-2 (2010) - [j6]Göran Kauermann, John T. Ormerod, Matthew P. Wand:
Parsimonious Classification Via Generalized Linear Mixed Models. J. Classif. 27(1): 89-110 (2010)
2000 – 2009
- 2008
- [j5]Göran Kauermann, Hans Peter Wolf:
Gedanken zur Statistikausbildung an deutschen Hochschulen. AStA Wirtschafts und Sozialstatistisches Arch. 2(1-2): 55-73 (2008) - [j4]Göran Kauermann, Ronghui Xu, Florin Vaida:
Stacked Laplace-EM algorithm for duration models with time-varying and random effects. Comput. Stat. Data Anal. 52(5): 2514-2528 (2008) - 2006
- [j3]Göran Kauermann, Pavel Khomski:
Additive two-way hazards model with varying coefficients. Comput. Stat. Data Anal. 51(3): 1944-1956 (2006) - 2005
- [j2]Göran Kauermann:
Penalized spline smoothing in multivariable survival models with varying coefficients. Comput. Stat. Data Anal. 49(1): 169-186 (2005) - 2003
- [j1]Gerhard Tutz, Göran Kauermann:
Generalized linear random effects models with varying coefficients. Comput. Stat. Data Anal. 43(1): 13-28 (2003)
Coauthor Index
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