kNN stands for k Nearest Neighbor. In data mining and predictive modeling, it refers to a memory-based (or instance-based) algorithm for classification and regression problems. It is a widely used algorithm with many successfully applications in medi...
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Recently, I am working on coding in SAS for a set of regularized regressions and need to compute trace of the projection matrix:
S=X(X'X + \lambda I)^{-1}X'.
Trace of the project matrix S is a key concept in modern regression analysis. For example, ...
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Recently, I am working on coding in SAS for a set of regularized regressions and need to compute trace of the projection matrix:
S=X(X'X + \lambda I)^{-1}X'.
Wikipedia has a well written introduction to Trace @ here.
Trace of the project matrix S i...
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Recently, I am working on coding in SAS for a set of regularized regressions and need to compute trace of the projection matrix:
$$ S=X(X'X + \lambda I)^{-1}X' $$.
Wikipedia has a well written introduction to Trace @ here.
To obtain the inverse of ...
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PROC GLIMMIX is good tool for generalized linear mixed model (GLMM), when the scale is small to medium. When facing a large scale GLMM, such as modeling all ZIPs nested in Counties nested in all 51 States in US, a 64-bit machine with extremely large ...
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PROC GLIMMIX is good tool for generalized linear mixed model (GLMM), when the scale is small to medium. When facing a large scale GLMM, such as modeling all ZIPs nested in Counties nested in all 51 States in US, a 64-bit machine with extremely large ...
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PROC GLIMMIX is good tool for generalized linear mixed model (GLMM), when the scale is small to medium. When facing a large scale GLMM, such as modeling all ZIPs nested in Counties nested in all 51 States in US, a 64-bit machine with extremely large ...
Read more »
Low Rank Radial Smoothing using GLIMMIX , a semiparametric approach to smooth curves . Specifying TYPE=RSMOOTH option in RANDOM statement, we can implement this spline smooth approach. The bast thing is that for future scoring, data preparation...
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