HIGHLIGHTS
- who: Daniel J. Eck from the Department of Statistics, University of Illinois, Champaign, IL , USA have published the research: General model-free weighted envelope estimation, in the Journal: (JOURNAL)
- what: The authors provide weighted envelope estimators that are appropriate for envelope estimation in the general setting (1.1). The weighted envelope estimation methodology that the authors develop in this paper extends to partial envelopes , inner envelopes , scaled envelopes , predictor envelopes , sparse response envelopes , tensor response regression , matrix-variate response regression , and envelope models with nonlinearity and heteroscedasticity . The weighted envelope estimators that the authors propose . . .
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