Conference Topics:
Papers should broadly address one of the conference topics listed below or a related area. Academicians and practitioners are encouraged to contribute new ideas, concepts, applications and case studies for discussion in the conference.
Theory and Methods:
| Bayesian Methods | Directional Statistics |
Operations Research |
| Big Data | Exploratory Data Analysis |
Panel Data |
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Classification |
Forecasting |
Pattern Recognition |
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Cluster Analysis |
Functional Data |
Probability and Stochastic Processes |
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Computational Intelligence |
Machine Learning |
Regression Modeling |
|
Data Visualization |
Manifold-Valued Data |
Statistical Inference |
|
Design of Experiments |
Multivariate Analysis |
Time Series Analysis |
Application Fields:
| Analytics for Environment | High Frequency Finance |
Risk Analytics |
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Analytics for Public Policy |
Industrial Applications |
Social Network Analysis |
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Analytics for Strategy |
Insurance Models |
Sports Analytics |
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Analytics in Education |
Investment and Portfolio Models |
Statistical Quality Control |
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Bioinformatics |
Legal Analytics |
Supply Chain Analysis |
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Data Analysis in Banking and |
Market Models |
Telecom Analytics |
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Financial Services |
Marketing Research |
Text Mining |
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Data Analysis in Retailing |
Pricing Analytics |
Web Analytics |
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Deep Learning |
Quality Management |
|
|
Healthcare Analysis |
Revenue Management |