Analysis 3: Who made the call? Classification based on logistic regression and trees

DOI10.2307/3314848zbMath0688.62030OpenAlexW2086894379MaRDI QIDQ4207483

Lanh Tat Tran

Publication date: 1989

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3314848

zbMATH Keywords

weakly dependent random variablesstrong mixing conditions\(L_ 1\)-convergenceKernel-type estimators

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (13)

Density estimation for time series by histograms ⋮ Local linear spatial regression ⋮ Kernel density estimation under weak dependence with sampled data ⋮ On bandwidth choice for density estimation with dependent data ⋮ Estimating beta-mixing coefficients via histograms ⋮ Kernel density estimation for spatial processes: The \(L_{1}\) theory ⋮ Nonparametric density estimation for nonmixing approximable stochastic processes ⋮ Nonparametric estimation of conditional expectation ⋮ Kernel density estimation for linear processes ⋮ Unnamed Item ⋮ Minimum distance regression-type estimates with rates under weak dependence ⋮ Spatial nonparametric regression estimation: Non-isotropic case ⋮ Effect of dependence on stochastic measures of accuracy of density estimators

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