.. _examples:

********
Examples
********

Each example below is a self-contained, end-to-end analysis — the code, the inferred
parameters and the resulting figures, with commentary that walks through how the model is
built and what it reveals. The first two use illustrative datasets as a gentle
introduction; the rest apply *bayesloop* to real, openly-available data from a range of
scientific fields — epidemiology, seismology, climatology, macroeconomics, sports, solar
physics, neuroscience, finance, energy and movement ecology — with several comparing it
head-to-head against the standard model in their field.

As with the tutorials, the code cells of each example can be run directly in the browser.
Selecting the run button on a cell starts a Python session, and the code may then be
modified and executed again. Two of the examples depend on compiled packages that the
in-browser Python cannot load, and note this at the top.

.. toctree::
    :maxdepth: 1

    examples/anomalousdiffusion.ipynb
    examples/stockmarketfluctuations.ipynb
    examples/measles.ipynb
    examples/earthquakes.ipynb
    examples/hurricanes.ipynb
    examples/greatmoderation.ipynb
    examples/baseball.ipynb
    examples/sunspots.ipynb
    examples/seizuredetection.ipynb
    examples/covidforecasting.ipynb
    examples/marketvolatility.ipynb
    examples/energydemand.ipynb
    examples/animalmovement.ipynb