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SVCM

主要实现了Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities这篇文章里的算法,其中,不同之处在于估计变系数的时候采用了三个系数一起估计的方法,想法来自MWPCR-Multiscale-Weighted-Principal-Component-Regression-for-High-dimensional-Prediction这篇文章,example.m这个文件主要是实现了文章中的64×64×8的模拟,需要注意的是8G的内存的机器对于这个程序内存可能不够,如果想看文章效果,可以运行example.m中的20×20×10得例子,为了成功运行20×20×10的必须修改GenerateData.m中的NN参数。

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