Man pages for citiususc/voila
Variational Inference for Langevin Equations
| autocovmat | Autocovariance matrix |
| constant_function_factory | Create a function returning a constant value |
| covmat | Covariance matrix |
| decrease_upper_bound | Decreases the upper bound of the kernel |
| do_events | Dansgaard-Oeschger (DO) events time series |
| fit_kbr_sde | Kernel Based SDEs Estimation |
| fit_polynomial_sde | Polynomial based SDEs Estimation |
| get_hyperparams | Get the hyperparameters of a kernel |
| gp_kernels | Gaussian process' kernels |
| increase_lower_bound | Decreases the lower bound of the kernel |
| ornstein | Ornstein-Uhlenbeck time series |
| predict.sgp_sde | Predictions from drift/diffusion estimates |
| preproc | Preprocess a time series |
| sde_kernel | Create a gaussian process' kernel |
| sde_vi | Variation inference for Langevin equations/SDE |
| select_diffusion_parameters | Parameter selection for the diffusion term |
| set_hyperparams | Set the hyperparameters of a kernel |
| sgp_sde | SGP-based estimate of a Langevin Equation/SDE |
| simulate_sde | Simulate Langevin Equations |
| vars | Variance vector |
