greedy_resampling_factor

Greedy resampling factor

Topics

bayesian_calibration

Specification

  • Alias: None

  • Arguments: REAL

  • Default: 0.5

Description

MUQ’s greedy algorithm frequently recomputes variance at each level. The greedy_resampling_factor sets the fraction of samples to reuse before computing.

Default Behavior

Defaults to 0.5.

Examples

method,
bayes_calibration muq
multilevel_mcmc
    initial_chain_samples = 50
    target_variance = 0.5
    subsampling_steps = 12 0
    greedy_resampling_factor = 0.5