Hennig, Christian, Cluster Validation by Measurement of Clustering Characteristics Relevant to the User, in: Data Analysis and Applications 1: Clustering and Regression, Modeling‐estimating, Forecasting and Data Mining, Volume 2, New York, Wiley, 2019, pp. 1 - 24 [capitolo di libro]
Hennig C.; Sauerbrei W., Exploration of the variability of variable selection based on distances between bootstrap sample results, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2019, 13, pp. 933 - 963 [articolo]
van Dongen N.N.N.; van Doorn J.B.; Gronau Q.F.; van Ravenzwaaij D.; Hoekstra R.; Haucke M.N.; Lakens D.; Hennig C.; Morey R.D.; Homer S.; Gelman A.; Sprenger J.; Wagenmakers E.-J., Multiple Perspectives on Inference for Two Simple Statistical Scenarios, «THE AMERICAN STATISTICIAN», 2019, 73, pp. 328 - 339 [articolo]
Hennig, Christian; Viroli, Cinzia; Anderlucci, Laura, Quantile-based clustering, «ELECTRONIC JOURNAL OF STATISTICS», 2019, 13, pp. 4849 - 4883 [articolo]Open Access
Tzeng, ShengLi; Hennig, Christian; Li, Yu-Fen; Lin, Chien-Ju*, Dissimilarity for functional data clustering based on smoothing parameter commutation, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2018, 27, pp. 3492 - 3504 [articolo]
Christian Martin Hennig, Some Thoughts on Simulation Studies to Compare Clustering Methods, «ARCHIVES OF DATA SCIENCE, SERIES A», 2018, 5, pp. 1 - 21 [articolo]
Müllensiefen, Daniel; Hennig, Christian*; Howells, Hedie, Using clustering of rankings to explain brand preferences with personality and socio-demographic variables, «JOURNAL OF APPLIED STATISTICS», 2018, 45, pp. 1009 - 1029 [articolo]
Gelman, Andrew*; Hennig, Christian, Beyond subjective and objective in statistics, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY», 2017, 180, pp. 967 - 1033 [articolo]Open Access
Coretto, Pietro; Hennig, Christian, Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering, «JOURNAL OF MACHINE LEARNING RESEARCH», 2017, 18, pp. 1 - 39 [articolo]Open Access
Christian Hennig; Cinzia Viroli, Discussion of “Random-projection ensemble classification" by Timothy I. Cannings and Richard J. Samworth, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY», 2017, 79, pp. 996 - 997 [replica/breve intervento]
Hennig C; Akhanli S, Football and the Dark Side of Cluster Analysis, in: Big Data Clustering: Data Preprocessing, Variable Selection and Dimension Reduction, Berlin, WIAS Berlin, 2017, pp. 81 - 87 [capitolo di libro]
Akhanli S; Hennig C, Some Issues in Distance Construction for Football Players Performance Data, «ARCHIVES OF DATA SCIENCE, SERIES A», 2017, 2, pp. 1 - 17 [articolo]
Lin CJ; Hennig C; Huang CL, Clustering and a dissimilarity measure for methadone dosage time series, in: Analysis of Large and Complex Data, Berlin, Springer, 2016, pp. 31 - 41 [capitolo di libro]
Nurinsiyah AS; Fauzia H; Hennig C; Hausdorf B, Native and introduced land snail species as ecological indicators in different land use types in Java , «ECOLOGICAL INDICATORS», 2016, 70, pp. 557 - 565 [articolo]
Hennig C.; Viroli C., Quantile-based classifiers, «BIOMETRIKA», 2016, 103, pp. 435 - 446 [articolo]
Christian, Hennig; Viroli, Cinzia, Quantile-based classifiers, «BIOMETRIKA», 2016, 103, pp. 435 - 446 [articolo]
