JOSS Papers: stochastic processes

All Papers
3128
 Published Papers
2799
 Active Papers
329
published Published about 2 years ago

PyNM: a Lightweight Python implementation of Normative Modeling

Python Jupyter Notebook
@harveyaa
10.21105/joss.04321
published Published over 2 years ago

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

Julia
@tiagoseq
10.21105/joss.03974
published Published over 2 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 3 years ago

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

Python
@satejsoman
10.21105/joss.03464
published Published almost 5 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 almost 5 years ago

kramersmoyal: Kramers--Moyal coefficients for stochastic processes

Python
@LRydin
10.21105/joss.01693
published Published over 6 years ago

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

Python
@pdebuyl
10.21105/joss.00877
Displaying 7 papers

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ISSN 2475-9066