Rizzi, Alfredo

Compstat 2006 - Proceedings in Computational Statistics

Compstat 2006 - Proceedings in Computational Statistics


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ISBN: 9783790817096
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Table of contents

Part I.Classification and Clustering

1. Issues of robustness and high dimensionality in cluster analysis
Kaye Basford, Geoff McLachlan, Richard Bean

2. Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories
Renato Coppi, Pierpaolo D’Urso, Paolo Giordani

3. Bootstrap methods for measuring classification uncertainty in latent class analysis
José G. Dias, Jeroen K. Vermunt

4. A robust linear grouping algorithm
Greet Pison, Stefan Aelst, Ruben H. Zamar

5. Computing and using the deviance with classification trees
Gilbert Ritschard

6. Estimation procedures for the false discovery rate: a systematic comparison for microarray data
Michael G. Schimek, Tomáš Pavlík

7. A unifying model for biclustering
Iven Mechelen, Jan Schepers

Part II.Image Analysis and Signal Processing

8. Non-rigid image registration using mutual information
Frederik Maes, Emiliano D’Agostino, Dirk Loeckx, Jeroen Wouters, Dirk Vandermeulen, Paul Suetens

9. Musical audio analysis using sparse representations
Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Maria G. Jafari, Andrew Nesbit, Emmanuel Vincent, Beiming Wang

10. Robust correspondence recognition for computer vision
Radim Šára

11. Blind superresolution
Filip Šroubek, Gabriel Cristóbal, Jan Flusser

12. Analysis of Music Time Series
Claus Weihs, Uwe Ligges, Katrin Sommer

Part III.Data Visualization

13. Tying up the loose ends in simple, multiple, joint correspondence analysis
Michael Greenacre

14. 3 dimensional parallel coordinates plot and its use for variable selection
Keisuke Honda, Junji Nakano

15. Geospatial distribution of alcohol-related violence in Northern Virginia
Yasmin H. Said, Edward J. Wegman

16. Visualization in comparative music research
Petri Toiviainen, Tuomas Eerola

17. Exploratory modelling analysis: visualizing the value of variables
Antony Unwin

18. Density estimation from streaming data using wavelets
Edward J. Wegman, Kyle A. Caudle

Part IV.Multivariate Analysis

19. Reducing conservatism of exact small-sample methods of inference for discrete data
Alan Agresti, Anna Gottard

20. Symbolic data analysis: what is it?
Lynne Billard

21. A dimensional reduction method for ordinal three-way contingency table
Luigi D’Ambra, Biagio Simonetti, Eric J. Beh

22. Operator related to a data matrix: a survey
Yves Escoufier

23. Factor interval data analysis and its application
Huiwen Wang, Henry M. K. Mok, Dapeng Li

24. Identifying excessively rounded or truncated data
Kevin H. Knuth, J. Patrick Castle, Kevin R. Wheeler

25. Statistical inference and data mining: false discoveries control
Stéphane Lallich, Olivier Teytaud, Elie Prudhomme

26. Is ‘Which model . . .?’ the right question?
Nicholas T. Longford

27. Use of latent class regression models with a random intercept to remove the effects of the overall response rating level
Jay Magidson, Jeroen K. Vermunt

28. Discrete functional data analysis
Masahiro Mizuta

29. Self organizing MAPS: understanding, measuring and reducing variability
Patrick Rousset

30. Parameterization and estimation of path models for categorical data
Tamás Rudas, Wicher Bergsma, Renáta Németh

31. Latent class model with two latent variables for analysis of count data
Kazunori Yamaguchi, Naoko Sakurai, Michiko Watanabe

Part V.Web Based Teaching

32. Challenges concerning web data mining
Wolfgang Gaul

33. e-Learning statistics — a selective review
Wolfgang Härdle, Sigbert Klinke, Uwe Ziegenhagen

34. Quality assurance of web based e-Learning for statistical education
Taerim Lee, Jungjin Lee

Part VI.Algorithms

35. Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series
Roberto Baragona, Francesco Battaglia

36. Nonparametric evaluation of matching noise
Pier Luigi Conti, Daniela Marella, Mauro Scanu

37. Subset selection algorithm based on mutual information
Moon Y. Huh

38. Visiting near-optimal solutions using local search algorithms
Sheldon H. Jacobson, Shane N. Hall, Laura A. McLay

39. The convergence of optimization based GARCH estimators: theory and application
Peter Winker, Dietmar Maringer

40. The stochastics of threshold accepting: analysis of an application to the uniform design problem
Peter Winker

Part VII.Robustness

41. Robust classification with categorical variables
Andrea Cerioli, Marco Riani, Anthony C. Atkinson

42. Multiple group linear discriminant analysis: robustness and error rate
Peter Filzmoser, Kristel Joossens, Christophe Croux


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Keywords: MATHEMATICS / Probability & Statistics / General MAT029000

Publication year
Natural Sciences

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