mwc-probability-transition: A Markov stochastic transition operator with logging

[ bsd3, library, numeric, random, science, scientific-simulation, statistical-modeling, statistics ] [ Propose Tags ]

This package provides a Transition type that is useful for modelling (and debugging) stochastic transition kernels (used in e.g. the integration of SDEs, Markov chain Monte Carlo algorithms etc.).

It wraps the compositional random sampling functionality of mwc-probability and offers structured logging via logging-effect.


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Versions [faq] 0.1.0.0, 0.2.0.0, 0.3.0.0, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.4
Dependencies base (>=4.7 && <5), ghc-prim, logging-effect, mtl, mwc-probability, primitive, transformers [details]
License BSD-3-Clause
Copyright 2018 Marco Zocca
Author Marco Zocca
Maintainer zocca.marco gmail
Category Numeric, Random, Science, Scientific Simulation, Statistical Modeling, Statistics
Home page https://github.com/ocramz/mwc-probability-transition
Source repo head: git clone https://github.com/ocramz/mwc-probability-transition
Uploaded by ocramz at Sat Apr 21 09:07:00 UTC 2018
Distributions LTSHaskell:0.4, NixOS:0.4, Stackage:0.4
Downloads 990 total (73 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2018-04-21 [all 1 reports]

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Readme for mwc-probability-transition-0.3.0.1

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mwc-probability-transition

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Types and primitives for stochastic simulation (e.g. integration of SDE, random walks, Markov Chain Monte Carlo algorithms etc.)