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ICCSDA 2012 - International Conference on Computational Statistics and Data Analysis (ICCSDA 2012)
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Category ICCSDA 2012
Deadline: February 29, 2012 | Date: July 25, 2012-July 27, 2012
Venue/Country: Am sterdam, Netherlands
Updated: 2011-06-29 14:41:09 (GMT+9)
Call For Papers - CFP
The VIII. International Conference on Computational Statistics and Data Analysis is the premier forum for the presentation of new advances and research results in the fields of Computational Statistics and Data Analysis. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: Advances in Mixture Models Analysis of Symbolic and Structured Data Applications in Macro-Economics, Finance and Marketing Association Rules Bayesian Computation methods Biostatistics and Bio-computing Business Intelligence Categorical Data Analysis Classification and Discrimination Clinical Trials Clustering Computational Bayesian Methods Computational Econometrics Computational Methods for Industry Computational Methods in Official Statistics Computational Statistics in Finance Computational Statistics Teaching Computer-intensive methods for dependent data Data Analysis Techniques for Evaluating Trading Strategies Data assimilation and its application Data Mining Data Streams and Massive data Design of Experiments Dimensionality Reduction Econometrics and Statistical Finance Environmental Statistics and Climate Change Financial econometrics Flexible function estimation in high dimensional problems Functional Data Analysis Functional Genomics: Computational and Statistical Aspects Fuzzy Statistical Analysis Genomics and Microarray Data Analysis Graphical Models and Bayes Nets Computation Graphics and Data Visualization Image and Signal Processing Imprecise Data and Fuzzy Methods Internet Based Methods Latent Variable and Structural Equation Models Machine Learning and Scientific Computing Matrix Computations and Statistics Metadata and Data Representation Mixed models for Complex and Large Problems Model Selection, Computational Methods, and Optimization Heuristics Models and methods for Customer Relationship Management Multiple Testing Procedures Multivariate Data Analysis Neural Networks and Genetic Algorithms New developments in software for statistical computing Nonlinear time series modelling Nonparametric Statistics and Smoothing Optimization Algorithms Partial Least Squares: A Framework for Data Analysis and Statistical Modeling Pattern Recognition QR factorizations and other rank-revealing factorizations QStatistical Learning Methods involving Dimensionality Reduction Random Search Algorithms Recursive Partitioning and related methods Resampling Methods Risk Analysis and Scoring Robust and Nonparametric Methods Robust data mining Robustness Sensometrics Signal Extraction and Filtering Simulation Software Development Projects Software Evaluation Spatial Statistics Statistical Algorithms and Software Statistical Databases Statistical Education and Web Based Teaching Statistical Matching and Data Imputation Statistical Methods for Marketing Statistical Signal Extraction and Filtering Statistics for Functional data Structural Equations Models Support Vector Machine Symbolic Data Analysis Textual Data Analysis and Information Retrieval Time Series Analysis Contact us: info
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