Kernel Density Estimation for Compositional Data

DOI10.2307/2347365zbMath0585.62069OpenAlexW2796157596MaRDI QIDQ3709641

Ian J. Lauder, John Aitchison

Publication date: 1985

Published in: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2347365

zbMATH Keywords

kernel methodssimplexdensity estimationDirichlet distributioncompositional datalogistic-normal distribution

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (10)

Unnamed Item ⋮ Compositional data analysis: Where are we and where should we be heading? ⋮ Minimax properties of Dirichlet kernel density estimators ⋮ A review of compositional data analysis and recent advances ⋮ Unnamed Item ⋮ Asymptotic properties of Bernstein estimators on the simplex ⋮ Non-parametric regression for compositional data ⋮ Asymptotic properties of Dirichlet kernel density estimators ⋮ A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications ⋮ Adaptive Euclidean maps for histograms: generalized Aitchison embeddings

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