Mean response estimation with missing response in the presence of high-dimensional covariates
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2014.1002935
Abstract: ABSTRACT This paper studies the problem of mean response estimation where missingness occurs to the response but multiple-dimensional covariates are observable. Two main challenges occur in this situation: curse of dimensionality and model specification. The… read more here.
Keywords: dimensional covariates; response; mean response; response estimation ... See more keywords
INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL.
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DOI: 10.5705/ss.202016.0449
Abstract: Data with high-dimensional covariates are now commonly encountered. Compared to other types of responses, research on high-dimensional data with censored survival responses is still relatively limited, and most of the existing studies have been focused… read more here.
Keywords: accelerated failure; dimensional covariates; high dimensional; low dimensional ... See more keywords