Semiparametric Mean and Covariance Modelling and Variable Selection

来源 :2009 International Conference on Financial Statistics and Fi | 被引量 : 0次 | 上传用户:ykl122
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  In some fields,such as multilevel studies and time series,the objective of longitudinal studies is to find out how not only the average value of the response,but also the dispersion of the response vary over time,and how they are affected by different experimental treatments.For this purpose it is necessary to model the mean and covariance structure.In this work,a more flexible semiparametric model is proposed to model the covariance structures based on modified Choleskyde composition,which converts the constrained entries of covariance matrices into two groups of unconstrained autoregressive regression and innovation variance parameters that can be modelled independently.
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