The stochastic module provides toy :class:`models<pints.toy.stochastic.MarkovJumpModel>`, :class:`distributions<pints.LogPrior>` and :class:`error measures<pints.ErrorMeasure>` that can be used for tests and in examples.
.. toctree::
markov_jump_model
stochastic_degradation_model
stochastic_logistic_model
stochastic_michaelis_menten_model
stochastic_production_degradation_model
stochastic_schlogl_model