Updated 10 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 11 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 10 months ago
https://github.com/bifurcationkit/bifurcationinference.jl
learning state-space targets in dynamical systems
Updated 7 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 11 months ago
gestion-quantitative-2
Replication of the research paper : Catching the curl: Wavelet thresholding improves forward curve modelling