Spatially Clustered Time-Varying Lattice Models

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：logepark

【摘要】

：

In many applications where both predictors and responses are collected across geographical regions over time,the impacts of predictors to responses are often not static but time-varying.

【作者】

：

Rodrigue Ngueyep Tzoumpe Huijing Jiang Youngdeok Hwang

【机构】

：

IBM T.J.Watson Research Center,10598,USA

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

clustering lattice model network lasso spatio-temporal time-varying coefficients

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　　In many applications where both predictors and responses are collected across geographical regions over time,the impacts of predictors to responses are often not static but time-varying.

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Spatially Clustered Time-Varying Lattice Models

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