MoneyScience - Financial Intelligence for the Business World

MoneyScience - Financial Intelligence for the Business World
Swiss Finance Institute

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18th International Conference on Computational Statistics (CompStat)


24 - 29 August 2008 (All-day event)

Category: Econometrics
Location: Porto, Portugal
Home Page: Click here

The conference, sponsored by the European Regional Section of the IASC, is locally organized by the Faculty of Economics of the University of Porto.

Suggested topics include:

  • Association Rules
  • Bayesian Computation methods
  • Biostatistics and Bio-computing
  • Business Intelligence
  • Categorical Data Analysis
  • Classification and Discrimination
  • Clustering
  • Computational Bayesian Methods
  • Computational Econometrics
  • Computational Methods for Industry
  • Computational Methods in Official Statistics
  • Computational Statistics in Finance
  • Computational Statistics Teaching
  • Data Mining
  • Data Streams and Massive data
  • Design of Experiments
  • Dimensionality Reduction
  • Econometrics and Statistical Finance
  • Environmental Statistics and Climate Change
  • Functional Data 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
  • Machine Learning
  • Matrix Computations and Statistics
  • Metadata and Data Representation
  • Multiple Testing Procedures
  • Multivariate Data Analysis
  • Neural Networks and Genetic Algorithms
  • Nonparametric Statistics and Smoothing
  • Optimization Algorithms
  • Partial Least Squares
  • Pattern Recognition
  • Random Search Algorithms
  • Resampling Methods
  • Risk Analysis and Scoring
  • Robustness
  • Sensometrics
  • Signal Extraction and Filtering
  • Simulation
  • Software Development Projects
  • Software Evaluation
  • Spatial Statistics
  • Statistical Databases
  • Statistical Education and Web Based Teaching
  • Statistical Matching and Data Imputation
  • Statistical Methods for Marketing
  • Statistical Algorithms and Software
  • Structural Equations Models
  • Support Vector Machine
  • Symbolic Data Analysis
  • Textual Data Analysis and Information Retrieval
  • Time Series Analysis
  • Web Mining