index.rst

Bayesian Inference for the Analysis of Sub-temporal-resolution Data

BIASD

BIASD allows you to analyze Markovian signal versus time series, such as those collected in single-molecule biophysics experiments, even when the kinetics of the underlying Markov chain are faster than the signal acquisition rate. The code here has been written in python for easy implementation, but unfortunately, the likelihood function is computationally expensive since it involves a numerical integral. Therefore, the likelihood function is also provided as C code and also in CUDA with python wrappers to use them with the rest of the code base.

Contents:

.. toctree::
        :maxdepth: 2

        getstarted
        compileguide
        examples
        gui

Code Documentation:

.. toctree::
        :maxdepth: 2

        code_distributions
        code_laplace
        code_likelihood
        code_mcmc
        code_smd
        code_utils