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Parameter-Free High-Dimensional Screening Using Multiple Grouping of Variables
Parameter-Free High-Dimensional Screening Multiple Grouping Variables
2012/9/17
Screening is the problem of estimating a superset of the set of non-zero entries in an unknownp-dimensional vector β given nnoisy observations. In the high-dimensional regime, where p > n, screening a...
Large Scale Correlation Screening
High dimensional inference Variable selection Phase transition Poisson limit Renyi entropy Thresholding Sparsity False discovery
2011/3/18
This paper treats the problem of screening for variables with high correlations in high dimensional data in which there can be many fewer samples than variables. We focus on threshold-based correlatio...
Product Screening to Multicustomer Preferences: Multiresponse Unreplicated Nested Super-ranking
Multicustomer Preferences Super-ranking Product
2009/9/3
Modern production methods demand the synchronous multicharacteristic optimization of goods. There is a need to diversify a basic product to the importance placed on its individual quality components b...