:orphan: .. _sphx_glr_auto_probabilistic_modeling: .. _Probabilistic modeling: Probabilistic modeling ====================== .. raw:: html
.. _sphx_glr_auto_probabilistic_modeling_distributions: .. _Distributions: Distributions ------------- .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_maximum_distribution_thumb.png :alt: Create the distribution of the maximum of independent distributions :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_maximum_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_maximum_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_order_statistics_distribution_thumb.png :alt: Create a maximum entropy statistics distribution :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_order_statistics_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_order_statistics_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_conditional_random_vector_thumb.png :alt: Create a conditional random vector :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_conditional_random_vector.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_conditional_random_vector .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_conditional_distribution_thumb.png :alt: Create a conditional distribution :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_conditional_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_conditional_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_create_your_own_dist_thumb.png :alt: Create your own distribution given its quantile function :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_your_own_dist.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_create_your_own_dist .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_bayes_distribution_thumb.png :alt: Create a Bayes distribution :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_bayes_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_bayes_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_mixture_distribution_thumb.png :alt: Create a mixture of PDFs :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_mixture_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_mixture_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_create_extreme_value_distribution_thumb.png :alt: Create an extreme value distribution :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_extreme_value_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_create_extreme_value_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_create_and_draw_scalar_distributions_thumb.png :alt: Create and draw scalar distributions :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_and_draw_scalar_distributions.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_create_and_draw_scalar_distributions .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_create_random_mixture_thumb.png :alt: Create a random mixture :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_random_mixture.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_create_random_mixture .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_truncated_distribution_thumb.png :alt: Truncate a distribution :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_truncated_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_truncated_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_create_draw_multivariate_distributions_thumb.png :alt: Create and draw multivariate distributions :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_draw_multivariate_distributions.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_create_draw_multivariate_distributions .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_generate_by_inversion_thumb.png :alt: Generate random variates by inverting the CDF :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_generate_by_inversion.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_generate_by_inversion .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_distribution_transformation_thumb.png :alt: Transform a distribution :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_distribution_transformation.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_distribution_transformation .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_overview_univariate_distributions_thumb.png :alt: Overview of univariate distribution management :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_overview_univariate_distributions.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_overview_univariate_distributions .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_distribution_manipulation_thumb.png :alt: Distribution manipulation :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_distribution_manipulation.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_distribution_manipulation .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_quick_start_guide_distributions_thumb.png :alt: Quick start guide :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_quick_start_guide_distributions.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_quick_start_guide_distributions .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_python_distribution_thumb.png :alt: Create a customized distribution or copula :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_python_distribution.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_python_distribution .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/distributions/images/thumb/sphx_glr_plot_minimum_volume_level_sets_thumb.png :alt: Draw minimum volume level sets :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_minimum_volume_level_sets.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/distributions/plot_minimum_volume_level_sets .. raw:: html
.. _sphx_glr_auto_probabilistic_modeling_copulas: .. _CopulasExamples: Copulas ------- .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/copulas/images/thumb/sphx_glr_plot_create_copula_thumb.png :alt: Create a copula :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_create_copula.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/copulas/plot_create_copula .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/copulas/images/thumb/sphx_glr_plot_extract_copula_thumb.png :alt: Extract the copula from a distribution :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_extract_copula.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/copulas/plot_extract_copula .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/copulas/images/thumb/sphx_glr_plot_composed_copula_thumb.png :alt: Assemble copulas :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_composed_copula.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/copulas/plot_composed_copula .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/copulas/images/thumb/sphx_glr_plot_ordinal_sum_copula_thumb.png :alt: Create the ordinal sum of copulas :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_ordinal_sum_copula.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/copulas/plot_ordinal_sum_copula .. raw:: html
.. _sphx_glr_auto_probabilistic_modeling_random_vectors: .. _RandomVectorsExamples: Random Vectors -------------- .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/random_vectors/images/thumb/sphx_glr_plot_composite_random_vector_thumb.png :alt: Composite random vector :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_composite_random_vector.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/random_vectors/plot_composite_random_vector .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/random_vectors/images/thumb/sphx_glr_plot_random_vector_manipulation_thumb.png :alt: Create a random vector :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_random_vector_manipulation.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/random_vectors/plot_random_vector_manipulation .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/random_vectors/images/thumb/sphx_glr_plot_python_randomvector_thumb.png :alt: Create a random vector :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_python_randomvector.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/random_vectors/plot_python_randomvector .. raw:: html
.. _sphx_glr_auto_probabilistic_modeling_stochastic_processes: .. _Stochastic processes: Stochastic_processes -------------------- .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_functional_basis_process_thumb.png :alt: Create a functional basis process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_functional_basis_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_functional_basis_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_add_trend_thumb.png :alt: Add a trend to a process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_add_trend.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_add_trend .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_export_field_vtk_thumb.png :alt: Export a field to VTK :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_export_field_vtk.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_export_field_vtk .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_parametric_spectral_density_thumb.png :alt: Create a parametric spectral density function :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_parametric_spectral_density.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_parametric_spectral_density .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_gaussian_process_covariance_hmat_thumb.png :alt: Create a gaussian process from a cov. model using HMatrix :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_process_covariance_hmat.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_gaussian_process_covariance_hmat .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_aggregated_process_thumb.png :alt: Aggregate processes :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_aggregated_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_aggregated_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_create_stationary_covmodel_thumb.png :alt: Create a stationary covariance model :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_stationary_covmodel.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_create_stationary_covmodel .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_white_noise_process_thumb.png :alt: Create a white noise process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_white_noise_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_white_noise_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_userdefined_covariance_model_thumb.png :alt: Create a custom covariance model :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_covariance_model.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_userdefined_covariance_model .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_discrete_markov_chain_process_thumb.png :alt: Create a discrete Markov chain process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_discrete_markov_chain_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_discrete_markov_chain_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_box_cox_transform_thumb.png :alt: Use the Box-Cox transformation :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_box_cox_transform.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_box_cox_transform .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_timeseries_manipulation_thumb.png :alt: Manipulate a time series :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_timeseries_manipulation.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_timeseries_manipulation .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_user_stationary_covmodel_thumb.png :alt: Create a stationary covariance model :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_user_stationary_covmodel.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_user_stationary_covmodel .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_create_normal_process_thumb.png :alt: Create a normal process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_normal_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_create_normal_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_random_walk_process_thumb.png :alt: Create a random walk process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_random_walk_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_random_walk_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_userdefined_spectral_model_thumb.png :alt: Create a spectral model :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_spectral_model.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_userdefined_spectral_model .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_field_manipulation_thumb.png :alt: Draw a field :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_field_manipulation.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_field_manipulation .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_mix_rv_process_thumb.png :alt: Create a process from random vectors and processes :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_mix_rv_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_mix_rv_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_kronecker_covmodel_thumb.png :alt: Sample trajectories from a Gaussian Process with correlated outputs :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_kronecker_covmodel.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_kronecker_covmodel .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_process_manipulation_thumb.png :alt: Draw fields :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_process_manipulation.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_process_manipulation .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_create_and_manipulate_arma_process_thumb.png :alt: Create and manipulate an ARMA process :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_and_manipulate_arma_process.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_create_and_manipulate_arma_process .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_trend_transform_thumb.png :alt: Trend computation :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_trend_transform.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_trend_transform .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_gaussian_processes_comparison_thumb.png :alt: Compare covariance models :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_processes_comparison.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_gaussian_processes_comparison .. raw:: html
.. only:: html .. figure:: /auto_probabilistic_modeling/stochastic_processes/images/thumb/sphx_glr_plot_create_mesh_thumb.png :alt: Create a mesh :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_mesh.py` .. raw:: html
.. toctree:: :hidden: /auto_probabilistic_modeling/stochastic_processes/plot_create_mesh .. raw:: html
.. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: auto_probabilistic_modeling_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: auto_probabilistic_modeling_jupyter.zip `