.. _tutorials:
Tutorials
===========
The :code:`MParT-examples` repository provides several tutorials demonstrating how to use MParT in c++, python, Julia, and Matlab. Below are a gallery of these examples linking to python notebooks. For other languages, please go to the example repository.
.. card::
View examples from all languages on Github
.. button-link:: https://github.com/MeasureTransport/MParT-examples
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MeasureTransport/MParT-examples
Gallery (Python)
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.. grid-item-card:: Map from Density
:link: python/FromDensity2D_banana.ipynb
Construct a transport map from a two dimension probability density function.
.. grid-item-card:: Map from Samples
:link: python/FromSamples2D_banana.ipynb
Construct a transport map from two dimensional samples.
.. grid-item-card:: Monotone Least Squares
:link: python/MonotoneLeastSquares.ipynb
Use a one dimensional monotone parameterization for regression constrained to the space of strictly increasing functions.
.. grid-item-card:: Bayesian Inference
:link: python/BayesianInference_BOD.ipynb
Use a transport map to characterize a Bayesian posterior distribution arising in biochemical oxygen demand.
.. grid-item-card:: Stochastic Volatility
:link: python/SparseDensityEstimation_SV.ipynb
Use known conditional independence structure for map-based density estimation in high dimensions.