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Hennig, Christian - Department of Statistical Science, University College London
MODELS AND METHODS FOR CLUSTERWISE LINEAR REGRESSION
Falsification of propensity models by statistical tests and the goodness-of-fit paradox
Regression Fixed Point Clusters: Motivation, Consistency and Simulations
Mathematical Models and Reality -a Constructivist Perspective
A Constructivist View of the Statistical Quantification of Evidence
Modeling memory for melodies Daniel Mullensiefen 1 and Christian Hennig 2
Dissolution and isolation robustness of fixed point clusters
SOME THOUGHTS ABOUT THE DESIGN OF LOSS Authors: Christian Hennig
What Clusters Are Generated by Normal Christian Hennig 1
Fuzzy and Crisp Mahalanobis Fixed Point Clusters
Dissolution point and isolation robustness: robustness criteria for general cluster analysis
Ridgeline plot and clusterwise stability as tools for merging Gaussian mixture components
The game of red and blue revisited: propensities, subjective probabilities, and the goodness-of-fit
Clustering and Outlier Identification: Fixed Point Cluster Analysis
Within-subject comparison of changes in a pretest-posttest design
Design of Dissimilarity Measures: a New Dissimilarity between Species Distribution
The noise component in model-based cluster Christian Hennig1
The Annals of Statistics 2004, Vol. 32, No. 4, 13131340
The choice of vantage objects for image Christian Hennig a Longin Jan Latecki b
Cluster-wise assessment of cluster stability Christian Hennig
