Additive smoothing

In statistics, additive smoothing, also called Laplace smoothing or Lidstone smoothing, is a technique used to smooth count data, eliminating issues caused by certain values having 0 occurrences. Given a set of observation counts

Additive smoothing - Wikipedia Jump to content From Wikipedia, the free encyclopedia Statistical technique for smoothing categorical data For the image processing technique, see Laplacian smoothing . In statistics , additive smoothing , also called Laplace smoothing [ 1 ] or Lidstone smoothing , is a technique used to smooth count data, eliminating issues caused by certain values having 0 occurrences. Given a set of observation counts x = ⟨ x 1 , x 2 , … , x d ⟩ {\displaystyle \mathbf {x} =\langle x_{1},x_{2},\ldots ,x_{d}\rangle } from a d {\displaystyle d} -dimensional multinomial distributi

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