Foto del docente

Christian Martin Hennig

Full Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics


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 [Comment or similar]

Batool F.; Hennig C., Clustering with the Average Silhouette Width, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2021, 158, Article number: 107190 , pp. 1 - 18 [Scientific article]

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 [Comment or similar]

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) [Contribution to conference proceedings]

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) [Contribution to conference proceedings]

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 [Scientific article]

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 [Comment or similar]

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) [Chapter or essay]

Hausdorf B.; Hennig C., Species delimitation and geography, «MOLECULAR ECOLOGY RESOURCES», 2020, 20, pp. 950 - 960 [Scientific article]

Espinosa, Javier; Hennig, Christian, A constrained regression model for an ordinal response with ordinal predictors, «STATISTICS AND COMPUTING», 2019, 29, pp. 869 - 890 [Scientific article]

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 [Chapter or essay]

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 [Scientific article]

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 [Scientific article]

Hennig, Christian; Viroli, Cinzia; Anderlucci, Laura, Quantile-based clustering, «ELECTRONIC JOURNAL OF STATISTICS», 2019, 13, pp. 4849 - 4883 [Scientific article]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 [Scientific article]

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