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Modern statistics provides a variety of methods for solving complex problems in earth and environmental sciences, such as spatial statistics (geostatistics), time series analysis, Bayesian statistics, multivariate data analysis, linear and nonlinear regression, and multiple testing techniques. Fast growing of computing power makes it possible to implement many computationally intensive methods. However, successful applications of statistics methods often need substantial knowledge on both statistics and applied fields.
The goal of my research in the area is to bridge the gap between statistics and applied fields and to utilize advanced statistical methods to effectively solve problems in earth and environemntal sciences.
Examples of my research are: