Title: | Data fusion in a subjective way: a hierarchical model for heterogeneous data |
Speaker: | Dr. Stephen Wu, Research and Development Center for Data Assimilation, The Institute of Statistical Mathematics, Japan |
Time/Place: | 11:30 - 12:30 FSC1217 |
Abstract: | In the era of BIG DATA, the data is big not only in terms of its size, but also in terms of the diversity of data sources. A proper data fusion may reveal hidden information, while ignorance to the data heterogeneity may result in misleading conclusions. In this presentation, I will walk through examples from different fields, including seismology, molecular dynamics, pharmacokinetics and neurobiology, to demonstrate the motivation and methodology development of such a data fusion issue. Different from the typical superposition or data correlation model approaches, I present a hierarchical modeling approach that exhibit unique properties of model validation in a Bayesian perspective. |
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