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Christian Hennig

Personal Details

First Name:Christian
Middle Name:
Last Name:Hennig
Suffix:
RePEc Short-ID:phe840
[This author has chosen not to make the email address public]
https://www.unibo.it/sitoweb/christian.hennig/en

Affiliation

Dipartimento di Scienze Statistiche "Paolo Fortunati"
Alma Mater Studiorum - Università di Bologna

Bologna, Italy
http://www.stat.unibo.it/
RePEc:edi:dsbolit (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Javier Espinosa-Brito & Christian Hennig, 2021. "Inference for the proportional odds cumulative logit model with monotonicity constraints for ordinal predictors and ordinal response," Papers 2107.04946, arXiv.org, revised Jun 2023.

Articles

  1. Christian Hennig, 2024. "Parameters not empirically identifiable or distinguishable, including correlation between Gaussian observations," Statistical Papers, Springer, vol. 65(2), pages 771-794, April.
  2. Akhanli Serhat Emre & Hennig Christian, 2023. "Clustering of football players based on performance data and aggregated clustering validity indexes," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(2), pages 103-123, June.
  3. Christian Hennig, 2022. "Christian Hennig's contribution to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 698-699, July.
  4. Christian Hennig, 2022. "An empirical comparison and characterisation of nine popular clustering methods," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(1), pages 201-229, March.
  5. Batool, Fatima & Hennig, Christian, 2021. "Clustering with the Average Silhouette Width," Computational Statistics & Data Analysis, Elsevier, vol. 158(C).
  6. Christian Hennig, 2021. "Christian Hennig’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 446-447, April.
  7. Christian Hennig & Willi Sauerbrei, 2019. "Exploration of the variability of variable selection based on distances between bootstrap sample results," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 933-963, December.
  8. Noah N. N. van Dongen & Johnny B. van Doorn & Quentin F. Gronau & Don van Ravenzwaaij & Rink Hoekstra & Matthias N. Haucke & Daniel Lakens & Christian Hennig & Richard D. Morey & Saskia Homer & Andrew, 2019. "Multiple Perspectives on Inference for Two Simple Statistical Scenarios," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 328-339, March.
  9. Daniel Müllensiefen & Christian Hennig & Hedie Howells, 2018. "Using clustering of rankings to explain brand preferences with personality and socio-demographic variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(6), pages 1009-1029, April.
  10. Andrew Gelman & Christian Hennig, 2017. "Beyond subjective and objective in statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 967-1033, October.
  11. Pietro Coretto & Christian Hennig, 2016. "Robust Improper Maximum Likelihood: Tuning, Computation, and a Comparison With Other Methods for Robust Gaussian Clustering," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1648-1659, October.
  12. C. Hennig & C. Viroli, 2016. "Quantile-based classifiers," Biometrika, Biometrika Trust, vol. 103(2), pages 435-446.
  13. Peter Williams & Christian Hennig, 2015. "Effect of web page menu orientation on retrieving information by people with learning disabilities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(4), pages 674-683, April.
  14. Christian Hennig & Tim F. Liao, 2013. "How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(3), pages 309-369, May.
  15. Christian Hennig, 2013. "Discussion of “Model-based clustering with non-normal mixture distributions” by S. X. Lee and G. J. McLachlan," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 455-458, November.
  16. Hampel, Frank & Hennig, Christian & Ronchetti, Elvezio, 2011. "A smoothing principle for the Huber and other location M-estimators," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 324-337, January.
  17. Pietro Coretto & Christian Hennig, 2010. "A simulation study to compare robust clustering methods based on mixtures," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(2), pages 111-135, September.
  18. Christian Hennig, 2010. "Methods for merging Gaussian mixture components," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(1), pages 3-34, April.
  19. Hennig, Christian, 2008. "Dissolution point and isolation robustness: Robustness criteria for general cluster analysis methods," Journal of Multivariate Analysis, Elsevier, vol. 99(6), pages 1154-1176, July.
  20. Hennig, Christian, 2007. "Cluster-wise assessment of cluster stability," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 258-271, September.
  21. Hennig, Christian & Hausdorf, Bernhard, 2004. "Distance-based parametric bootstrap tests for clustering of species ranges," Computational Statistics & Data Analysis, Elsevier, vol. 45(4), pages 875-895, May.
  22. Hennig, Christian, 2003. "Clusters, outliers, and regression: fixed point clusters," Journal of Multivariate Analysis, Elsevier, vol. 86(1), pages 183-212, July.
  23. Hennig, Christian & Christlieb, Norbert, 2002. "Validating visual clusters in large datasets: fixed point clusters of spectral features," Computational Statistics & Data Analysis, Elsevier, vol. 40(4), pages 723-739, October.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DCM: Discrete Choice Models (1) 2021-07-26
  2. NEP-ECM: Econometrics (1) 2021-07-26

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