Sandia National Laboratories

# wasabi

(Experimental Method) Non-MCMC Bayesian inference using interval analysis

Specification

- Alias: None

- Arguments: None

Child Keywords:

Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | ---
Required | pushforward_samples | (Experimental Capability) Number of samples of the prior to push forward through the model
Optional | seed | Seed of the random number generator
Optional | emulator | Use an emulator or surrogate model to evaluate the likelihood function
Optional | standardized_space | Perform Bayesian inference in standardized probability space
Required | data_distribution | (Experimental Capability) Specify the distribution of the experimental data
Optional | posterior_samples_import_filename | (Experimental Capability) Filename for samples at which the user would like the posterior density calculated
Optional | generate_posterior_samples | (Experimental Capability) Generate random samples from the posterior density
Optional | evaluate_posterior_density | (Experimental Capability) Evaluate the posterior density and output to the specified file

Description

Offers an alternative to Markov Chain Monte Carlo-based Bayesian inference. This is a nascent capability, not yet ready for production use.

Usage Guidelines: The WASABI method requires an emulator model.

Attention: While the `emulator` specification for WASABI includes the keyword posterior_adaptive, it is not yet operational.

Examples

    method
      bayes_calibration
        wasabi

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