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...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Heidelberg :
Physica-Verlag HD
2006.
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| Colección: | Springer eBooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32750249*spi |
Tabla de Contenidos:
- 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.
