Baxter's inequality and sieve bootstrap for random fields

DOI10.3150/16-BEJ835zbMath1412.62127OpenAlexW2253416392MaRDI QIDQ2405146

Carsten Jentsch, Marco Meyer, Jens-Peter Kreiss

Publication date: 21 September 2017

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bj/1495505083

zbMATH Keywords

bootstrapresamplingrandom fieldsautoregressionsieveBaxter's inequality

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric statistical resampling methods (62G09)

Related Items (10)

Principal Component Analysis of Spatially Indexed Functions ⋮ Convergence of the best linear predictor of a weakly stationary random field ⋮ Representation theorems in finite prediction, with applications ⋮ Autoregressive spatial spectral estimates ⋮ Sieve bootstrap for functional time series ⋮ Bootstrapping INAR models ⋮ On the validity of Akaike's identity for random fields ⋮ Guaranteed conditional ARL performance in the presence of autocorrelation ⋮ Nonlinear autoregressive sieve bootstrap based on extreme learning machines ⋮ Frequency domain bootstrap methods for random fields

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