Bootstrap and Other Resampling Methodologies in Statistics of Extremes
From MaRDI portal
Publication:5860259
DOI10.1080/03610918.2014.895834zbMath1474.62162OpenAlexW2170550649MaRDI QIDQ5860259
Dora Prata Gomes, M. Manuela Neves
Publication date: 19 November 2021
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2014.895834
Asymptotic distribution theory in statistics (62E20) Statistics of extreme values; tail inference (62G32) Monte Carlo methods (65C05)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Model misspecification in peaks over threshold analysis
- A nonparametric plug-in rule for selecting optimal block lengths for block bootstrap methods
- Estimating the parameters of rare events
- Adaptive estimation of heavy right tails: resampling-based methods in action
- Subsampling techniques and the jackknife methodology in the estimation of the extremal index
- Extremes and related properties of random sequences and processes
- Point processes and multivariate extreme values
- Resampling a coverage pattern
- The use of subseries values for estimating the variance of a general statistic from a stationary sequence
- Extreme values for stationary and Markov sequences
- Extremal theory for stochastic processes
- On the asymptotic accuracy of Efron's bootstrap
- Bootstrap methods: another look at the jackknife
- On blocks and runs estimators of the extremal index
- Extremal index estimation for a weakly dependent stationary sequence
- Block length selection in the bootstrap for time series
- Theoretical comparisons of block bootstrap methods
- The jackknife and the bootstrap for general stationary observations
- New estimators for the extremal index and other cluster characteristics
- Basic properties and prediction of max-ARMA processes
- NOTES ON BIAS IN ESTIMATION
- An extremal markovian sequence
- On the multivariate extremal index
- Inference for Clusters of Extreme Values
- Extremes and local dependence in stationary sequences
- ON THE JACKKNIFE-AFTER-BOOTSTRAP METHOD FOR DEPENDENT DATA AND ITS CONSISTENCY PROPERTIES
- Statistics of Extremes
- On blocking rules for the bootstrap with dependent data
- The extremal index and clustering of high values for derived stationary sequences
- Asymptotic Extremes for $m$-Dependent Random Variables
- A comparison of methods for estimating the extremal index
- An introduction to statistical modeling of extreme values
This page was built for publication: Bootstrap and Other Resampling Methodologies in Statistics of Extremes