Compstat 2006 - Proceedings in Computational Statistics

Rizzi, Alfredo; Vichi, Maurizio

Compstat 2006 - Proceedings in Computational Statistics

Edited by Alfredo Rizzi () and Maurizio Vichi ()

in Springer Books from Springer

Date: 2006
ISBN: 978-3-7908-1709-6
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Chapters in this book:

Issues of robustness and high dimensionality in cluster analysis: Kaye Basford, Geoff McLachlan and Richard Bean
Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories: Renato Coppi, Pierpaolo D’Urso and Paolo Giordani
Bootstrap methods for measuring classification uncertainty in latent class analysis: José G. Dias and Jeroen K. Vermunt
A robust linear grouping algorithm: Greet Pison, Stefan Van Aelst and Ruben H. Zamar
Computing and using the deviance with classification trees: Gilbert Ritschard
Estimation procedures for the false discovery rate: a systematic comparison for microarray data: Michael G. Schimek and Tomáš Pavlík
A unifying model for biclustering: Iven Van Mechelen and Jan Schepers
Non-rigid image registration using mutual information: Frederik Maes, Emiliano D’Agostino, Dirk Loeckx, Jeroen Wouters, Dirk Vandermeulen and Paul Suetens
Musical audio analysis using sparse representations: Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Maria G. Jafari, Andrew Nesbit, Emmanuel Vincent and Beiming Wang
Robust correspondence recognition for computer vision: Radim Šára
Blind superresolution: Filip Šroubek, Gabriel Cristóbal and Jan Flusser
Analysis of Music Time Series: Claus Weihs, Uwe Ligges and Katrin Sommer
Tying up the loose ends in simple, multiple, joint correspondence analysis: Michael Greenacre
3 dimensional parallel coordinates plot and its use for variable selection: Keisuke Honda and Junji Nakano
Geospatial distribution of alcohol-related violence in Northern Virginia: Yasmin H. Said and Edward J. Wegman
Visualization in comparative music research: Petri Toiviainen and Tuomas Eerola
Exploratory modelling analysis: visualizing the value of variables: Antony Unwin
Density estimation from streaming data using wavelets: Edward J. Wegman and Kyle A. Caudle
Reducing conservatism of exact small-sample methods of inference for discrete data: Alan Agresti and Anna Gottard
Symbolic data analysis: what is it?: Lynne Billard
A dimensional reduction method for ordinal three-way contingency table: Luigi D’Ambra, Biagio Simonetti and Eric J. Beh
Operator related to a data matrix: a survey: Yves Escoufier
Factor interval data analysis and its application: Huiwen Wang, Henry M. K. Mok and Dapeng Li
Identifying excessively rounded or truncated data: Kevin H. Knuth, J. Patrick Castle and Kevin R. Wheeler
Statistical inference and data mining: false discoveries control: Stéphane Lallich, Olivier Teytaud and Elie Prudhomme
Is ‘Which model...?’ the right question?: Nicholas T. Longford
Use of latent class regression models with a random intercept to remove the effects of the overall response rating level: Jay Magidson and Jeroen K. Vermunt
Discrete functional data analysis: Masahiro Mizuta
Self organizing MAPS: understanding, measuring and reducing variability: Patrick Rousset
Parameterization and estimation of path models for categorical data: Tamás Rudas, Wicher Bergsma and Renáta Németh
Latent class model with two latent variables for analysis of count data: Kazunori Yamaguchi, Naoko Sakurai and Michiko Watanabe
Challenges concerning web data mining: Wolfgang Gaul
e-Learning statistics — a selective review: Wolfgang Härdle, Sigbert Klinke and Uwe Ziegenhagen
Quality assurance of web based e-Learning for statistical education: Taerim Lee and Jungjin Lee
Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series: Roberto Baragona and Francesco Battaglia
Nonparametric evaluation of matching noise: Pier Luigi Conti, Daniela Marella and Mauro Scanu
Subset selection algorithm based on mutual information: Moon Y. Huh
Visiting near-optimal solutions using local search algorithms: Sheldon H. Jacobson, Shane N. Hall and Laura A. McLay
The convergence of optimization based GARCH estimators: theory and application: Peter Winker and Dietmar Maringer
The stochastics of threshold accepting: analysis of an application to the uniform design problem: Peter Winker
Robust classification with categorical variables: Andrea Cerioli, Marco Riani and Anthony C. Atkinson
Multiple group linear discriminant analysis: robustness and error rate: Peter Filzmoser, Kristel Joossens and Christophe Croux

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DOI: 10.1007/978-3-7908-1709-6

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