Christian Hennig, Parameters not empirically identifiable or distinguishable, including correlation between Gaussian observations, «STATISTICAL PAPERS», 2024, 65, pp. 771 - 794 [articolo]Open Access
Iven Van Mechelen; Anne-Laure Boulesteix; Rainer Dangl; Nema Dean; Christian Hennig; Friedrich Leisch; Douglas Steinley; Matthijs J. Warrens, A white paper on good research practices in benchmarking: The case of cluster analysis, «WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY», 2023, 13, Article number: e1511, pp. 1 - 20 [articolo]Open Access
Akhanli, SE; Hennig, C, Clustering of football players based on performance data and aggregated clustering validity indexes, «JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS», 2023, 19, pp. 103 - 123 [articolo]
Hennig, Christian, Probability Models in Statistical Data Analysis: Uses, Interpretations, Frequentism-as-Model, in: Handbook of the History and Philosophy of Mathematical Practice, Cham, Bharath Sriraman, 2023, pp. 1 - 49 [capitolo di libro]
Shamsudheen, Iqbal; Hennig, Christian, Should We Test the Model Assumptions Before Running a Model-based Test?, «JOURNAL OF DATA SCIENCE, STATISTICS, AND VISUALISATION», 2023, 3, Article number: 3, pp. 1 - 40 [articolo]
Hennig, The ambition of absolute agreement in mathematics, and deviations from it. (Open peer commentary of "Random Walks as a Royal Road to E-STEAM in Math Education" by Amaranta Valdes-Zorrilla, Daniela Diaz-Rojas, Leslie Jimenez, Jorge Soto-Andrade), «CONSTRUCTIVIST FOUNDATIONS», 2023, 18, pp. 279 - 282 [replica/breve intervento]
Christian Hennig; Gabriele D'Angella, A comparison of different clustering approaches for high-dimensional presence-absence data, in: Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen, Innovations in Multivariate Statistical Modeling, Cham, Springer, 2022, pp. 299 - 318 [capitolo di libro]
Hennig, C; Coretto, P, An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture-based clustering, «AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS», 2022, 64, pp. 230 - 254 [articolo]Open Access
Christian Hennig, An empirical comparison and characterisation of nine popular clustering methods, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2022, 16, pp. 201 - 229 [articolo]
Christian Hennig, Discussion of "Assumption-lean inference for generalised linear model parameters", «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY», 2022, 84, pp. 698 - 699 [replica/breve intervento]
Hennig, Christian, The controversy over p-values as an illustration of the difficulty of statistics: response to Mayo (2022), «CONSERVATION BIOLOGY», 2022, 36, pp. e13987 - e13987 [replica/breve intervento]
Ullmann T.; Hennig C.; Boulesteix A.-L., Validation of cluster analysis results on validation data: A systematic framework, «WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY», 2022, 12, Article number: e1444, pp. 1 - 19 [articolo]Open Access
Hennig C., 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. STATISTICS IN SOCIETY», 2021, 184, pp. 446 - 447 [replica/breve intervento]
Batool F.; Hennig C., Clustering with the Average Silhouette Width, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2021, 158, Article number: 107190, pp. 1 - 18 [articolo]
Hennig, C, Contributed Discussion of Paganin, S., Herring, A. F. , Olshan, A. F. , Dunson, D. B., and The National Birth Defects Prevention Study: "Centered Partition Processes: Informative Priors for Clustering", «BAYESIAN ANALYSIS», 2021, 16, pp. 359 - 360 [replica/breve intervento]Open Access
