Christian Hennig: papers and publications

Statistics and data analysis (methodological)
Statistics and data analysis (applications)
Foundations of statistics, constructivist philosophy
Letters, discussion, etc.

(*) These are journal's websites. Some of them need subscription. Contact me for reprints or versions that I am allowed to distribute.
(**) The linked files are preliminary (not identical) versions of published (or submitted) papers.
Note that the listing below may not be up to date. A publications listing that is (hopefully) updated automatically is here.

Data Analysis (methodological: cluster analysis, mixtures, robustness)

C. Hennig and C. Viroli Quantile-based classifiers Submitted (2013). Free version on arxiv.org.
L. Anderlucci and C. Hennig Clustering of categorical data: a comparison of a model-based and a distance-based approach Communications of Statistics - Theory and Methods. To appear (2013) pdf (**).
P. Coretto and C. Hennig Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions Journal of Statistical Planning and Inference 141, 462-473 (2011). pdf (**).
Hampel, F., Hennig, C. and Ronchetti, E. A smoothing principle for the Huber and other location M-estimators Computational Statistics and Data Analysis 55, 324-337 (2011). pdf (**).
P. Coretto and C. Hennig A simulation study to compare robust clustering methods based on mixtures Advances in Data Analysis and Classification 4, 111-135 (2010). pdf (**).
C. Hennig Methods for merging Gaussian mixture components . Advances in Data Analysis and Classification (2010) 4, 3-34. pdf (***).
C. Hennig Ridgeline plot and clusterwise stability as tools for merging Gaussian mixture components In: Locarek-Junge H, Weihs C (eds.): Classification as a Tool for Research. Springer, Berlin, 2010, 109-116. pdf (**).
C. Hennig Dissolution and isolation robustness of fixed point clusters pdf (**) Okada, A.; Imaizumi, T.; Bock, H.-H.; Gaul, W. (Eds.): Cooperation in Classification and Data Analysis Proceedings of Two German-Japanese Workshops. Springer, Berlin 2009, 27-40.
C. Hennig Dissolution point and isolation robustness: robustness criteria for general cluster analysis methods. pdf . Journal of Multivariate Analysis 99 (2008), 1154-1176.
C. Hennig and P. Coretto: The noise component in model-based cluster analysis pdf (**) . Preisach, C., Burkhardt, H., Schmidt-Thieme, L. and Decker, R. (eds.): Data Analysis, Machine Learning and Applications. Springer, Berlin 2008, 127-138.
C. Hennig and M. Kutlukaya: Some thoughts about the design of loss functions. pdf (**) . REVSTAT 5 (2007), 19-39 .
C. Hennig: Cluster-wise assessment of cluster stability pdf (**) . Computational Statistics and Data Analysis 52 (2007), 258-271.
C. Hennig: Fuzzy and Crisp Mahalanobis Fixed Point Clusters ps (**) . Baier, D., Decker, R., and Schmidt-Thieme, L. (Eds.): Data Analysis and Decision Support. Springer, Heidelberg 2005, 47-56.
C. Hennig: A method for visual cluster validation pdf(**) . Weihs, C. and Gaul, W. (eds.): Classification - The Ubiquitous Challenge. Springer, Heidelberg 2005, 153-160.
C. Hennig: Robustness of ML estimators of location-scale mixtures pdf(**) . Baier, D. and Wernecke, K.-D. (eds.): Innovations in Classification, Data Science, and Information Systems. Springer, Heidelberg 2005, 128-137.
C. Hennig: A general robustness and stability theory for cluster analysis ps(**) Preprint 2004-07, Fachbereich Mathematik - SPST, Hamburg. Submitted.
C. Hennig: Asymmetric linear dimension reduction for classification pdf/ps/abstract (**) Journal of Computational and Graphical Statistics 13 (2004), 930-945 .
C. Hennig: Breakdown points for maximum likelihood-estimators of location-scale mixtures pdf , Annals of Statistics 32 (2004), 1313-1340 .
C. Hennig and B. Hausdorf: Distance-based parametric bootstrap tests for clustering of species ranges pdf/ps/abstract (**) Computational Statistics and Data Analysis 45 (2004), 875-896.
C. Hennig: Clusters, Outliers, and Regression: Fixed Point Clusters html/pdf (*) from Science Direct (a preliminary version is part of Preprint 2000-02 , see below) Journal of Multivariate Analysis 86 (2003) 183-212.
C. Hennig: Fixed point clusters for linear regression: computation and comparison pdf (*) from JoC website (a preliminary version is part of Preprint 2000-02 , see below) Journal of Classification 19 (2002), 249-276
C. Hennig and N. Christlieb: Validating visual clusters in large datasets: fixed point clusters of spectral features html/pdf (*) from Science Direct Computational Statistics and Data Analysis 40 (2002), 723-739.
C. Hennig: Identifiability of Models for Clusterwise Linear Regression pdf (*) from JoC website Journal of Classification 17 (2000), 273-296
C. Hennig: What Clusters are Generated by Normal Mixtures? ps.gz (**) Kiers, H.A.L., Rasson, J.-P., Groenen, P.J.F. and Schader, M. (Eds.): Data Analysis, Classification, and Related Methods, Springer, Berlin 2000, 53-58
C. Hennig: Regression Fixed Point Clusters: Motivation, Consistency and Simulations ps.gz / pdf (**) Preprint 2000-02, Fachbereich Mathematik - SPST, Hamburg, February 2000.
C. Hennig and D. Pfeifer (Eds.): Beiträge zur Herbsttagung der AG DA-NK der Gesellschaft für Klassifikation Hamburg 5., 6.11. 1999. Summaries of presentations held at the conference. ( Program ), Hamburger Beiträge zur Modellierung und Simulation, Heft 13, Februar 2000.
C. Hennig: Models and Methods for Clusterwise Linear Regression ps.gz (**) Gaul, W. and Locarek-Junge, H. (eds.): Classification in the Information Age, Springer, Berlin 1999, 179-187
C. Hennig: Clustering and Outlier Identification: Fixed Point Cluster Analysis ps.gz (**) Rizzi, A., Vichi, M. and Bock, H.H. (eds.): Advances in Data Science and Classification, Springer, Berlin 1998, 37-42
C. Hennig: Fixed Point Clusters and their relation to stochastic models ps.gz (**) , Klar, R. and Opitz, O. (eds.): Classification and knowledge organization, Springer, Berlin 1997, 20-28
C. Hennig: Datenanalyse mit Modellen für Cluster linearer Regression (Data analysis by means of models for linear regression clustering) , Dissertation, Universität Hamburg, 1997
C. Hennig: Efficient High-Breakdown-Point Estimators in Robust Regression: Which Function to Choose ? Statistics and Decisions 13 (1995), 221-241

Data Analysis (applications)

C. Hennig and T. F. Liao How to find an appropriate clustering for mixed type variables with application to socioeconomic stratification. Journal of the Royal Statistical Science, Series C (Applied Statistics) 62, 309-369 (2013), with discussion. pdf (**; contact me for the published version with discussion).
A. Bevan, J. Conolly, C. Hennig, A. Johnston, A. Quercia, L. Spencer and J. Vroom Measuring Chronological Uncertainty in Intensive Survey Finds: A Case Study from Antikthera, Greece Archaeometry 55.2, 312-328 (2013).
D. Sarantaridis, C. Hennig and D. J. Caruana Potentiometric Tomography in Flames for Bioaerosol detection. Chemical Science 3, 2210-2216 (2012).
B. Hausdorf and C. Hennig Species Delimitation Using Dominant and Codominant Multilocus Markers. Systematic Biology 59, 491-503 (2010).
C. Hennig, D. Müllensiefen and J. Bargmann Comparison of changes in a pretest-posttest design with Likert scales. pdf (**). Applied Psychological Measurement 34, 291-309 (2010).
B. Hausdorf and C. Hennig: Null model tests of clustering of species, negative co-occurrence patterns and nestedness in meta-communities. html/pdf/abstract (*) Oikos 116 (2007), 818-828.
C. Hennig and B. Hausdorf: Design of dissimilarity measures: a new dissimilarity measure between species distribution ranges ps (**) . Batagelj, V.; Bock, H.-H.; Ferligoj, A.; Ziberna, A. (Eds.): Data Science and Classification, Springer, Berlin 2006, 29-38.
C. Hennig and D. Müllensiefen: Modeling memory for melodies ps (**) . Spiliopoulou, M.; Kruse, R.; Borgelt, C.; Nürnberger, A.; Gaul, W. (Eds.): From Data and Information Analysis to Knowledge Engineering, Springer, Berlin 2006, 732-739.
C. Hennig and B. Hausdorf: A robust distance coefficient between distribution areas incorporating geographic distances. html/pdf from Systematic Biology website (*) Systematic Biology 55 (2006), 170-175.
B. Hausdorf and C. Hennig: The influence of recent geography, palaeography and climate on the composition of the faune of the central Aegean Islands. Biological Journal of the Linnean Society 84 (2005), 785-795.
C. Hennig: Classification and outlier identification for the Gaia mission pdf from ICAP-Website (**). Neural Network World 15 (2005), 335-342.
B. Hausdorf and C. Hennig: Does vicariance shape biotas? Biogeographical tests of the vicariance model. Journal of Biogeography 31 (2004), 1751-1757.
D. Repsilber, C. Hennig and F. Scholz: On sources of variation in expression of phosphoenolpyruvat-carboxylase in Norway spruce (Picea abies (L.) Karst.): PEPC genotype, genetic background and growth temperature. Forest Genetics 11 (2004), 71-79.
B. Hausdorf and C. Hennig: Biotic Element Analysis in Biogeography. Systematic Biology website (*) Systematic Biology 52 (2003), 717-723.
C. Hennig and L. J. Latecki: The choice of vantage objects for image retrieval ps.gz (**) . Pattern Recognition 36 (2003), 2187-2196.
B. Hausdorf and C. Hennig: Nestedness of north-west European land snail ranges as a consequence of differential immigration from Pleistocene glacial refuges. html/pdf (*) from Oecologia website Oecologia 135 (2003), 102-109 .
P. Mischnick and C. Hennig: A New Model for the Substitution Patterns in the Polymer Chain of Polysaccharide Derivatives html (*) from Biomacromolecules website Biomacromolecules 2 (2001), 180-184
N. Christlieb, C. Hennig and L. Wisotzki: Non-classical quasar selection methods in Beiträge zur Herbsttagung der AG DA-NK der Gesellschaft für Klassifikation Hamburg 1999. See above.

Foundations of Statistics and Constructivist Philosophy

C. Hennig: Mathematical Models and Reality - a Constructivist Perspective. pdf (**) Foundations of Science 15, 29-49 (2010) .
C. Hennig: A Constructivist View of the Statistical Quantification of Evidence. (*) Constructivist Foundations 5 (2009).
C. Hennig: Falsification of propensity models by statistical tests and the goodness-of-fit paradox. pdf (**) . Philosophia Mathematica 15 (2007), 166-192 .
C. Hennig: The game of red and blue revisited: propensities, subjective probabilities, and the goodness-of-fit paradox. pdf . (2006).
C. Hennig: How wrong models become useful - and correct models become dangerous pdf (**) in M. Schader, W. Gaul, M. Vichi (Eds.): Between Data Science and Applied Data Analysis , Springer, Berlin 2003, 235-243.
C. Hennig: Confronting Data Analysis with Constructivist Philosophy pdf (**) in K. Jajuga, A. Sokolowski, H.-H. Bock (Eds.): Classification, Clustering, and Data Analysis , Springer, Berlin 2002, 235-244.
C. Hennig: Ein konstruktivistischer Blick auf mathematische Modelle ps.gz / pdf (**) Zeitschrift für systemische Therapie 19 (2001), 147-159.
C. Hennig: Konstruktivismus, Modellierung und Datenanalyse html from BOAG-website (2000)

Letters, discussions etc.

Book review D. Mayo and A. Spanos (eds.): "Error and Inference" pdf (*). Theoria 74, 245-247 (2012).
Book review J. Williamson: "In Defence of Objective Bayesianism ". Philosophia Mathematica 19, 219-225 (2011).
Discussion of D. E. Tyler, F. Critchley, L. Dümbgen, H. Oja, "Invariant Coordinate Selection", pdf (**). Journal of the Royal Statistical Society, Series B 71 (2009).
Letter concerning M. Simkin "My statistician could have painted that! A statistical inquiry into modern art", Significance, September 2007 ASCII text, unshortened version
Discussion of M. S. Handcock, A. E. Raftery, J. M. Tantrum "Model-based clustering for social networks", Journal of the Royal Statistical Society: Series A 170 (2007) pdf (**)
Discussion of R. Taplin "Enhancing statistical education by using role-plays of consultations", Journal of the Royal Statistical Society: Series A 170 (2007) ASCII text