CORDIS Project
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This project develops statistical models for analyzing tempo-spatial data, focusing on stochastic volatility. It aims to create new estimation methods that can be applied to various fields, including climate change risk assessment and renewable energy design.
Statistics for tempo-spatial data is one of the most important research frontiers in modern statistics.
This project proposes to introduce and develop the concept of tempo-spatial stochastic volatility, which allows one to model volatility clusters both in time and in space.
Empirical evidence for stochastic volatility is ubiquitous, and hence, it is vital and urgent that statistical models and estimation methods will be developed to account for this key quantity.Stochastic volatility is a late…
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