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Call for Papers
The International Conference on Computational Statistics
and Data Analysis (ICCSDA 2009) is the premier
forum for the presentation of new advances and
research results in the fields of theoretical,
experimental, and applied 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
Web Mining
Paper submission
Prospective authors are invited to submit full papers
including results, figures and references. Paper will be
accepted only by electronic submission through the
conference web site. Prospective authors are expected to
present their paper at the conference.
Proposal for special session
The conference will include a number of special sessions.
Proposal for special sessions must include a title,
rationale, session outline, contact information for the
session chairs, a list of authors who have agreed to
present paper in the session, and abstract of each
paper. If any of these requirements is missing in a
proposal, it will not be accepted. Proposals for special
sessions should be submitted to the conference
secretariat before deadlines.
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