.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/bayesian_swissmetro/plot_b19_individual_level_parameters.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_bayesian_swissmetro_plot_b19_individual_level_parameters.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_bayesian_swissmetro_plot_b19_individual_level_parameters.py:


19. Calculation of individual level parameters
==============================================

Calculation of the individual level parameters for the model defined
in :ref:`plot_b05_normal_mixture`.

Michel Bierlaire, EPFL
Mon Nov 17 2025, 18:59:56

.. GENERATED FROM PYTHON SOURCE LINES 12-17

.. code-block:: Python


    from IPython.core.display_functions import display

    from biogeme.bayesian_estimation import BayesianResults








.. GENERATED FROM PYTHON SOURCE LINES 18-19

Retrieve estimation results

.. GENERATED FROM PYTHON SOURCE LINES 19-22

.. code-block:: Python

    result_file_name = 'saved_results/b05_normal_mixture.nc'
    the_estimation_results = BayesianResults.from_netcdf(filename=result_file_name)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    load finished in 9732 ms (9.73 s)




.. GENERATED FROM PYTHON SOURCE LINES 23-25

With Bayesian estimation, the individual-level parameters are automatically generated.
We simply retrieve them from estimation results.

.. GENERATED FROM PYTHON SOURCE LINES 25-27

.. code-block:: Python

    sim = the_estimation_results.posterior_mean_by_observation(var_name='b_time_rnd')
    display(sim)




.. rst-class:: sphx-glr-script-out

 .. code-block:: none

          b_time_rnd
    obs             
    0      -2.700321
    1      -2.707648
    2      -2.789338
    3      -2.523579
    4      -2.652483
    ...          ...
    6763   -1.349442
    6764   -1.225173
    6765   -1.192921
    6766   -0.839448
    6767   -1.303646

    [6768 rows x 1 columns]





.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 9.942 seconds)


.. _sphx_glr_download_auto_examples_bayesian_swissmetro_plot_b19_individual_level_parameters.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_b19_individual_level_parameters.ipynb <plot_b19_individual_level_parameters.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_b19_individual_level_parameters.py <plot_b19_individual_level_parameters.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_b19_individual_level_parameters.zip <plot_b19_individual_level_parameters.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_