Christian Hennig; Pietro Coretto, Non-parametric consistency for the Gaussian mixture maximum likelihood estimator, in: Cladag 2021 Book of Abstracts and Short Papers, Giovanni C. Porzio; Carla Rampichini; Chiara Bocci, 2021, pp. 116 - 119 (atti di: Cladag 2021, Firenze, September 9-11, 2021) [Contributo in Atti di convegno]
Christian Hennig, Some results on identifiable parameters that cannot be identified from data, in: Book of Short Papers SIS 2021, Cira Perna; Nicola Salvati; Francesco Schirripa Spagnolo, 2021, pp. 1181 - 1186 (atti di: SIS 2021, Pisa, June 21-25, 2021) [Contributo in Atti di convegno]
Akhanli S.E.; Hennig C., Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes, «STATISTICS AND COMPUTING», 2020, 30, pp. 1523 - 1544 [articolo]
Christian Hennig, Discussion on the meeting on ‘Signs and sizes:understanding and replicating statistical findings’, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY», 2020, 183, pp. 450 - 451 [replica/breve intervento]
Christian Hennig, Minkowski Distances and Standardisation for Clustering and Classification on High-Dimensional Data, in: Advanced Studies in Behaviormetrics and Data Science, Singapore, Imaizumi, Tadashi; Nakayama, Atsuho; Yokoyama, Satoru, 2020, pp. 103 - 118 (BEHAVIORMETRICS) [capitolo di libro]
Hausdorf B.; Hennig C., Species delimitation and geography, «MOLECULAR ECOLOGY RESOURCES», 2020, 20, pp. 950 - 960 [articolo]Open Access
Hennig, C, Recensione a: Ten Great Ideas about Chance, «PHILOSOPHIA MATHEMATICA», 2020, 28, pp. 282 - 285 [recensione]
Espinosa, Javier; Hennig, Christian, A constrained regression model for an ordinal response with ordinal predictors, «STATISTICS AND COMPUTING», 2019, 29, pp. 869 - 890 [articolo]
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]
