JOSS Papers: system identification

Published Papers

published Published 5 months ago

LikelihoodProfiler.jl: Unified profile-likelihood workflows for identifiability and confidence intervals

Julia Jupyter Notebook

10.21105/joss.09501

published Published 7 months ago

pyOMA2: A Python module for conducting operational modal analysis

Jupyter Notebook Python

10.21105/joss.07656

published Published 8 months ago

NonSysId: Nonlinear System Identification with Improved Model Term Selection for NARMAX Models

MATLAB

10.21105/joss.08028

published Published 8 months ago

pykoop: a Python Library for Koopman Operator Approximation

Python

10.21105/joss.07947

published Published about 2 years ago

quadkeyr: Tools for converting QuadKey-identified datasets (Microsoft's Bing Maps Tile System) into raster images and analyzing Meta (Facebook) Mobility Data

R

10.21105/joss.06500

published Published over 2 years ago

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator

Python

10.21105/joss.05881

published Published over 2 years ago

PYDAQ: Data Acquisition and Experimental Analysis with Python

C++ Python

10.21105/joss.05662

published Published over 2 years ago

Phasik: a Python package to identify system states in partially temporal networks

Jupyter Notebook Python

10.21105/joss.05872

published Published almost 4 years ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python

10.21105/joss.04205

published Published over 4 years ago

PySINDy: A comprehensive Python package for robust sparse system identification

Python

10.21105/joss.03994

Displaying papers 1 - 10 of 14 in total

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