作者：Wang, Xin; Yuan, Ke; Hellmayr, Christoph; Liu, Wei; Markowetz, Florian
作者单位：CRUK Cambridge Institute; Cancer Research UK; University of Cambridge
摘要：Inferring time-varying networks is important to understand the development and evolution of interactions over time. However, the vast majority of currently used models assume direct measurements of node states, which are often difficult to obtain, especially in fields like cell biology, where perturbation experiments often only provide indirect information of network structure. Here we propose hidden Markov nested effects models (HM-NEMs) to model the evolving network by a Markov chain on a st...
作者：Olives, Casey; Sheppard, Lianne; Lindstrom, Johan; Sampson, Paul D.; Kaufman, Joel D.; Szpiro, Adam A.
作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; Lund University; University of Washington; University of Washington Seattle
摘要：There is growing evidence in the epidemiologic literature of the relationship between air pollution and adverse health outcomes. Prediction of individual air pollution exposure in the Environmental Protection Agency (EPA) funded Multi-Ethnic Study of Atheroscelerosis and Air Pollution (MESA Air) study relies on a flexible spatio-temporal prediction model that integrates land-use regression with kriging to account for spatial dependence in pollutant concentrations. Temporal variability is captu...
