Song Qian
Assistant Professor
Environmental Sciences
University of Toledo
Spain
Biography
His research interest is in the development and application of quantitative methods for analyzing complex environmental and ecological data. An important feature of ecological study is that they use variables operating at different scales, some representing spatiotemporal scales and some representing conceptual scales. In all cases, they observe data representing a fine spatiotemporal scale or at individual species level and they aggregate these observations to make inference at a larger spatiotemporal scale or at community level. Mathematically, the multiple levels in the data can be represented by the hierarchical structure of a Bayesian hierarchical/multilevel model. However, the full potential of the hierarchical modeling approach has yet to be explored. In the past five years, he has focused on using the Bayesian hierarchical modeling approach.
Research Interest
Environmental and ecological statistics, Bayesian hierarchical models, Water quality and watershed modeling, Stream ecosystem response to disturbance
