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Bayesian inference on on a whole-brain model of epielpsy spread (BVEP), using
TVB, Stan, PyMC3, NumPyro, and SBI, at source and sensor levels:

☞  BVEP in EBRAINS

☞  BVEP in GitHub

Soure localization in BVEP:

☞  Source Estimation in GitHub

Bayesian inference on a slow-fast dynamical system (2D-Epileptor), using Stan/PyMc3/Numpyro/SBI:

☞  2D-Epileptor in GitHub

Spectral power fitting using optimization algorithms (PSO, DE, GA, CMAES, etc) and MCMC sampling:

☞  SpectralPowerFitting in GitHub

Time series forcasting using AR, LSTM, Gussian process:

☞  ForecastingTimeSeries in GitHub

PdPk models using Stan:

☞  Stan_PKPD_examples in GitHub

Hidden Markov Model (HMM):

☞  HMM in GitHub

Vector Autoregressive (VAR) model:

☞  VAR in GitHub

Probabilistic PCA using PyMC3 and scikit-learn:

☞  PPCA in GitHub

8schoolsexample using Stan/PyMc3/Numpyro:

☞  8schoolsexample in GitHub

Polynomial fitting and order selection using Stan:

☞  PolynomialModelComparision in GitHub

Delay Differential Equations (DDEs):

☞  DDEs in GitHub