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|Abstract: We will start with a bang, i.e., the big bang. Then after a short prehistory, we will begin at the beginning of spatial analysis, around mid-18th century. The introduction will be at a general level of epidemiology. Then we will discuss the concept of spatial dependence, and slowly move to spatial statistics, spatial econometrics, and finally to spatial urban economics.|
The aim of this special issue is to feature research papers on theory, methodology, and applications of models and methods for recent advances in statistical finance. We encourage submissions presenting original works on statistical, computational, and mathematical approaches to modelling and analysis of financial data. Innovative applications and case studies in financial statistics are welcome, especially related to novel methodological challenges in the treatment of big data and high-frequency data.
This special issue will bring together contributions from practitioners and researchers working on different aspects of statistical methods in finance, with methodological interests encompassing, but not limited to, the following domains:The motivating application areas could be: For More Detail ...
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