.. _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 :color: info :shadow: :expand: MeasureTransport/MParT-examples Gallery (Python) ----------------- .. grid:: 1 2 2 3 :gutter: 3 .. 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.