Sensitivity posterior quantities

Sensitivity posterior quantities#

The posterior quantities are computed by power-scaling the prior or likelihood and visualizing the resulting changes. Sensitivity can then be quantified by considering how much the perturbed quantities differ from the base quantities.

Matplotlib version of plot_psense_quantities

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from arviz_base import load_arviz_data

import arviz_plots as azp

azp.style.use("arviz-variat")

idata = load_arviz_data("rugby")
pc = azp.plot_psense_quantities(
    idata,
    var_names=["sd_att", "sd_def"],
    quantities=["mean", "sd", "0.25", "0.75"],
    backend="none",
)
pc.show()

See also

API Documentation: plot_psense_quantities

Other examples with plot_psense_quantities#

Download Python Source Code: plot_psense_quantities.py

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