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The International Conference on Advances Statistical Theory and Its Applications (ICASTIA-2020) is dedicated to address the challenges in the areas of statistics, thereby presenting a consolidated view to the interested researchers in the related fields. The conference looks for significant contributions to statistics in theoretical and practical aspects.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, and industrial experiences that describe significant advances in the following areas, but are not limited to:
Statictics
Bayesian statistics
Big data
Bioinformatics
Biostatistics
Business Intelligence
Categorical data analysis
Chemometrics
Data science
Deep learning
Econometrics
Ensemble methods
Experimental design
Exploratory data analysis
Linear model
Longitudinal data analysis
Machine learning
Marketing research
Multivariate
Neural network
Non-parametric statistics
Numerical daya analysis
Optimization
Parametric statistics
Queuing theory
Regression analysis
Sequential Statistics
Spatial data anaylis
Statistical modelling
Statistics for education
Stocastic process
Theory of statistics
Time series
Applied Statictics
Apriori and posterioring computing
Association rules mining
Bio statistics
Classification
Clustering
Data envelopment anaylis
Data mining
Response surface methodology
Statistics in Business and Economy
Statistics in Education
Survival data analysis
Other related topics
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