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Showing 1 to 1 of 1 for “"subdata selection"”.

  1. Contributions to Data Reduction and Statistical Model of Data with Complex Structures

    … of sparse regression. The commonly-used subdata selection method often considers sampling or feature screening. Un- der the case of data with both large number of observation and predictors, we proposed a filtering approach for model estimation (FAME) to reduce both the size of data …

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