JOSS Papers: stochastic processes

All Papers
3972
 Published Papers
3446
 Active Papers
526
published Published 9 months ago

MDPSolver: An Efficient Solver for Markov Decision Processes

Python C++
@areenberg
10.21105/joss.07544
published Published about 3 years ago

PyNM: a Lightweight Python implementation of Normative Modeling

Python Jupyter Notebook
@harveyaa
10.21105/joss.04321
published Published over 3 years ago

NeuralFieldEq.jl: A flexible solver to compute Neural Field Equations in several scenarios

Julia
@tiagoseq
10.21105/joss.03974
published Published almost 4 years ago

VTUFileHandler: A VTU library in the Julia language that implements an algebra for basic mathematical operations on VTU data

Julia
@baxmittens
10.21105/joss.04300
published Published over 4 years ago

epimargin: A Toolkit for Epidemiological Estimation, Prediction, and Policy Evaluation

Python
@satejsoman
10.21105/joss.03464
published Published about 6 years ago

ScenTrees.jl: A Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Programming

Julia
@kirui93
10.21105/joss.01912
published Published about 6 years ago

kramersmoyal: Kramers--Moyal coefficients for stochastic processes

Python
@LRydin
10.21105/joss.01693
published Published over 7 years ago

tidynamics: A tiny package to compute the dynamics of stochastic and molecular simulations

Python
@pdebuyl
10.21105/joss.00877
Displaying 8 papers

Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066