Compstat 2006 - Proceedings in Computational Statistics 17th Symposium Held in Rome, Italy, 2006 /

International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Rizzi, Alfredo (Επιμελητής έκδοσης), Vichi, Maurizio (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Heidelberg : Physica-Verlag HD, 2006.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Classification and Clustering
  • Issues of robustness and high dimensionality in cluster analysis
  • Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories
  • Bootstrap methods for measuring classification uncertainty in latent class analysis
  • A robust linear grouping algorithm
  • Computing and using the deviance with classification trees
  • Estimation procedures for the false discovery rate: a systematic comparison for microarray data
  • A unifying model for biclustering
  • Image Analysis and Signal Processing
  • Non-rigid image registration using mutual information
  • Musical audio analysis using sparse representations
  • Robust correspondence recognition for computer vision
  • Blind superresolution
  • Analysis of Music Time Series
  • Data Visualization
  • Tying up the loose ends in simple, multiple, joint correspondence analysis
  • 3 dimensional parallel coordinates plot and its use for variable selection
  • Geospatial distribution of alcohol-related violence in Northern Virginia
  • Visualization in comparative music research
  • Exploratory modelling analysis: visualizing the value of variables
  • Density estimation from streaming data using wavelets
  • Multivariate Analysis
  • Reducing conservatism of exact small-sample methods of inference for discrete data
  • Symbolic data analysis: what is it?
  • A dimensional reduction method for ordinal three-way contingency table
  • Operator related to a data matrix: a survey
  • Factor interval data analysis and its application
  • Identifying excessively rounded or truncated data
  • Statistical inference and data mining: false discoveries control
  • Is ‘Which model . . .?’ the right question?
  • Use of latent class regression models with a random intercept to remove the effects of the overall response rating level
  • Discrete functional data analysis
  • Self organizing MAPS: understanding, measuring and reducing variability
  • Parameterization and estimation of path models for categorical data
  • Latent class model with two latent variables for analysis of count data
  • Web Based Teaching
  • Challenges concerning web data mining
  • e-Learning statistics — a selective review
  • Quality assurance of web based e-Learning for statistical education
  • Algorithms
  • Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series
  • Nonparametric evaluation of matching noise
  • Subset selection algorithm based on mutual information
  • Visiting near-optimal solutions using local search algorithms
  • The convergence of optimization based GARCH estimators: theory and application
  • The stochastics of threshold accepting: analysis of an application to the uniform design problem
  • Robustness
  • Robust classification with categorical variables
  • Multiple group linear discriminant analysis: robustness and error rate.