Updated 9 months ago
pomp
R package for statistical inference using partially observed Markov processes
abc
b-spline
differential-equations
dynamical-systems
iterated-filtering
likelihood
likelihood-free
markov-chain-monte-carlo
markov-model
mathematical-modelling
measurement-error
particle-filter
r
sequential-monte-carlo
simulation-based-inference
sobol-sequence
state-space
statistical-inference
stochastic-processes
time-series
Updated 9 months ago
complexitymeasures.jl
Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
Updated 9 months ago
https://github.com/bifurcationkit/bifurcationinference.jl
learning state-space targets in dynamical systems
Updated 5 months ago
C4DYNAMICS: The Python framework for state-space modeling and algorithm development
C4DYNAMICS: The Python framework for state-space modeling and algorithm development - Published in JOSS (2025)
Updated 9 months ago
gestion-quantitative-2
Replication of the research paper : Catching the curl: Wavelet thresholding improves forward curve modelling