Probabilistic modeling
======================

Distributions
-------------

.. toctree::
    :maxdepth: 1

    gaussian_distribution.ipynb
    geometric_distribution.ipynb
    draw_1d_distribution.ipynb
    truncated_distribution.ipynb
    2d_gaussian_distribution.ipynb
    draw_2d_distribution.ipynb
    create_copula.ipynb
    composed_distribution.ipynb
    extract_copula.ipynb
    random_vector_manipulation.ipynb
    distribution_manipulation.ipynb
    python_randomvector.ipynb
    python_distribution.ipynb
    composed_copula.ipynb
    ordinal_sum_copula.ipynb
    mixture_distribution.ipynb
    random_mixture_distribution.ipynb
    random_mixture_distribution_discrete.ipynb
    distribution_transformation.ipynb
    composite_distribution.ipynb
    composite_random_vector.ipynb
    maximum_distribution.ipynb
    order_statistics_distribution.ipynb
    conditional_distribution.ipynb
    conditional_random_vector.ipynb
    bayes_distribution.ipynb

Stochastic processes
--------------------

.. toctree::
    :maxdepth: 1

    mesh_creation.ipynb
    gaussian_process_covariance.ipynb
    gaussian_process_spectral.ipynb
    userdefined_covariance_model.ipynb
    userdefined_spectral_model.ipynb
    arma_process.ipynb
    white_noise_process.ipynb
    random_walk_process.ipynb
    functional_basis_process.ipynb
    trend_transform.ipynb
    box_cox_transform.ipynb
    aggregated_process.ipynb
