.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/montecarlo/plot_b07estimation_monte_carlo_500.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_montecarlo_plot_b07estimation_monte_carlo_500.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_montecarlo_plot_b07estimation_monte_carlo_500.py:


Mixtures of logit with Monte-Carlo 500 draws
============================================

Estimation of a mixtures of logit models where the integral is
approximated using MonteCarlo integration.

Michel Bierlaire, EPFL
Sun Jun 29 2025, 03:47:53

.. GENERATED FROM PYTHON SOURCE LINES 12-23

.. code-block:: Python


    from b07estimation_specification import get_biogeme
    from IPython.core.display_functions import display

    import biogeme.biogeme_logging as blog
    from biogeme.expressions import Draws
    from biogeme.results_processing import (
        EstimationResults,
        get_pandas_estimated_parameters,
    )








.. GENERATED FROM PYTHON SOURCE LINES 24-27

.. code-block:: Python

    logger = blog.get_screen_logger(level=blog.INFO)
    logger.info('Example b07estimation_monte_carlo_500.py')





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

 .. code-block:: none

    Example b07estimation_monte_carlo_500.py 




.. GENERATED FROM PYTHON SOURCE LINES 28-30

.. code-block:: Python

    R = 500








.. GENERATED FROM PYTHON SOURCE LINES 31-37

.. code-block:: Python

    the_draws = Draws('b_time_rnd', 'NORMAL')
    the_biogeme = get_biogeme(the_draws=the_draws, number_of_draws=R)
    the_biogeme.model_name = 'b07estimation_monte_carlo_500'
    results_file = f'saved_results/{the_biogeme.model_name}.yaml'






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

 .. code-block:: none

    Biogeme parameters read from biogeme.toml. 




.. GENERATED FROM PYTHON SOURCE LINES 38-43

.. code-block:: Python

    try:
        results = EstimationResults.from_yaml_file(filename=results_file)
    except FileNotFoundError:
        results = the_biogeme.estimate()








.. GENERATED FROM PYTHON SOURCE LINES 44-46

.. code-block:: Python

    print(results.short_summary())





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

 .. code-block:: none

    Results for model b07estimation_monte_carlo_500
    Nbr of parameters:              5
    Sample size:                    10719
    Excluded data:                  9
    Final log likelihood:           -8575.894
    Akaike Information Criterion:   17161.79
    Bayesian Information Criterion: 17198.19





.. GENERATED FROM PYTHON SOURCE LINES 47-48

Get the results in a pandas table

.. GENERATED FROM PYTHON SOURCE LINES 48-52

.. code-block:: Python

    pandas_results = get_pandas_estimated_parameters(
        estimation_results=results,
    )
    display(pandas_results)




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

 .. code-block:: none

            Name     Value  Robust std err.  Robust t-stat.  Robust p-value
    0  asc_train -0.471849         0.047959       -9.838629    0.000000e+00
    1     b_time -1.844287         0.075651      -24.378989    0.000000e+00
    2   b_time_s  1.185231         0.088825       13.343403    0.000000e+00
    3     b_cost -0.844821         0.057509      -14.690137    0.000000e+00
    4    asc_car  0.175623         0.035151        4.996252    5.845527e-07





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

   **Total running time of the script:** (0 minutes 0.255 seconds)


.. _sphx_glr_download_auto_examples_montecarlo_plot_b07estimation_monte_carlo_500.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: plot_b07estimation_monte_carlo_500.ipynb <plot_b07estimation_monte_carlo_500.ipynb>`

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

      :download:`Download Python source code: plot_b07estimation_monte_carlo_500.py <plot_b07estimation_monte_carlo_500.py>`

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

      :download:`Download zipped: plot_b07estimation_monte_carlo_500.zip <plot_b07estimation_monte_carlo_500.zip>`


.. only:: html

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

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