A Note on Importance Resampling for Multi-Dimensional Statistics

DOI10.1080/03610918.2011.566970zbMath1416.62238OpenAlexW2083140015MaRDI QIDQ3102869

Zheng Su

Publication date: 25 November 2011

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2011.566970

zbMATH Keywords

bootstrapvarianceminimizationimportance resamplingmulti-dimensional

Mathematics Subject Classification ID

Censored data models (62N01) Nonparametric tolerance and confidence regions (62G15) Statistics of extreme values; tail inference (62G32) Nonparametric statistical resampling methods (62G09)

Cites Work

• Survival analysis. Techniques for censored and truncated data.
• Adaptive resampling algorithms for estimating bootstrap distributions
• Efficient importance sampling for events of moderate deviations with applications
• IMPORTANCE BOOTSTRAP RESAMPLING FOR PROPORTIONAL HAZARDS REGRESSION
• Rank Tests and a One-Sample Logrank Test for Comparing Observed Survival Data to a Standard Population

This page was built for publication: A Note on Importance Resampling for Multi-Dimensional Statistics