HENNIG, CHRISTIAN MARTIN
HENNIG, CHRISTIAN MARTIN
DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"
Docenti di ruolo di Ia fascia
A comparison of different clustering approaches for high-dimensional presence-absence data
2022 Christian Hennig; Gabriele D'Angella
A constrained regression model for an ordinal response with ordinal predictors
2019 Espinosa, Javier; Hennig, Christian
A Posteriori Dietary Patterns: How Many Patterns to Retain?
2014 Fransen HP; May AM; Stricker MD; Boer JMA; Hennig C; Rosseel Y; Beulens JWJ
A white paper on good research practices in benchmarking: The case of cluster analysis
2023 Iven Van Mechelen; Anne-Laure Boulesteix; Rainer Dangl; Nema Dean; Christian Hennig; Friedrich Leisch; Douglas Steinley; Matthijs J. Warrens
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture-based clustering
2022 Hennig, C; Coretto, P
An empirical comparison and characterisation of nine popular clustering methods
2022 Christian Hennig
Beyond subjective and objective in statistics
2017 Gelman, Andrew*; Hennig, Christian
Christian Hennig’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
2021 Hennig C.
Cluster Validation by Measurement of Clustering Characteristics Relevant to the User
2019 Hennig, Christian
Clustering and a dissimilarity measure for methadone dosage time series
2016 Lin CJ; Hennig C; Huang CL
Clustering of categorical data: a comparison of a model-based and a distance-based approach
2014 Laura Anderlucci; Christian Hennig
Clustering of categorical data: a comparison of different approaches
2012 Laura Anderlucci; Christian Hennig
Clustering of football players based on performance data and aggregated clustering validity indexes
2023 Akhanli, SE; Hennig, C
Clustering with the Average Silhouette Width
2021 Batool F.; Hennig C.
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
2020 Akhanli S.E.; Hennig C.
Consistency, breakdown robustness, and algorithms for robust improper maximum likelihood clustering
2017 Coretto, Pietro; Hennig, Christian
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"
2021 Hennig, C
Discussion of “Random-projection ensemble classification" by Timothy I. Cannings and Richard J. Samworth
2017 Christian Hennig; Cinzia Viroli
Discussion of "Assumption-lean inference for generalised linear model parameters"
2022 Christian Hennig
Discussion on the meeting on ‘Signs and sizes:understanding and replicating statistical findings’
2020 Christian Hennig