JOSS Papers: Uncertainty quantification

Published Papers

published Published 4 months ago

PeakPerformance - A tool for Bayesian inference-based fitting of LC-MS/MS peaks

Python

10.21105/joss.07313

published Published 9 months ago

Fortuna.jl: Structural and System Reliability Analysis in Julia

Julia

10.21105/joss.06967

published Published 9 months ago

SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python

Python Jupyter Notebook

10.21105/joss.06101

published Published 10 months ago

OpenGeoSysUncertaintyQuantification.jl: a Julia library implementing an uncertainty quantification toolbox for OpenGeoSys

Julia

10.21105/joss.06725

published Published 12 months ago

CalibrateEmulateSample.jl: Accelerated Parametric Uncertainty Quantification

Julia

10.21105/joss.06372

published Published 12 months ago

GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials

Python PureBasic Jupyter Notebook

10.21105/joss.06338

published Published over 1 year ago

parafields: A generator for distributed, stationary Gaussian processes

Python C++ Jupyter Notebook

10.21105/joss.05735

published Published over 1 year ago

UQTestFuns: A Python3 library of uncertainty quantification (UQ) test functions

Python

@damar-wicaksono

10.21105/joss.05671

published Published over 1 year ago

UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines

Python

10.21105/joss.04249

published Published over 1 year ago

PyThia: A Python package for Uncertainty Quantification based on non-intrusive polynomial chaos expansions

Python

@Nando-Farchmin

10.21105/joss.05489

Displaying papers 1 - 10 of 26 in total

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