Nonparametric Additive Models for Billion Observations
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DOI: 10.1080/10618600.2024.2319684
Abstract: Abstract The nonparametric additive model (NAM) is a widely used nonparametric regression method. Nevertheless, due to the high computational burden, classic statistical techniques for fitting NAMs are not well-equipped to handle massive data with billions… read more here.
Keywords: method; billion observations; nonparametric additive; additive models ... See more keywords