The moving block bootstrap to assess the accuracy of statistical estimates in Ising model simulations

DOI10.1016/0010-4655(95)00114-7zbMath0908.65004OpenAlexW2095059129MaRDI QIDQ1269364

K. Appert

Publication date: 8 March 1999

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0010-4655(95)00114-7

zbMATH Keywords

confidence intervalstime seriesMonte Carlo methodresampling methodmoving block bootstrapstatistical estimatescubic spin flip Ising model

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Disordered systems (random Ising models, random Schrödinger operators, etc.) in equilibrium statistical mechanics (82B44)

Related Items

Reweighting histogram technique for the quantum Heisenberg ferromagnet, Phase diagram of the lattice \(SU(2)\) Higgs model

Uses Software

• bootstrap

Cites Work

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• The use of subseries values for estimating the variance of a general statistic from a stationary sequence
• On the sample variance of linear statistics derived from mixing sequences
• Monte Carlo simulation in statistical physics. An introduction
• Bootstrap methods: another look at the jackknife
• The jackknife and the bootstrap for general stationary observations
• Monte Carlo simulation in statistical physics. An introduction.