★ 0 · Updated 2026-10-04
Forecast univariate time series without custom training using TimesFM, with point predictions, calibrated quantile intervals, and optional exogenous covariates.
Browse skills that produce this output.
★ 0 · Updated 2026-10-04
Forecast univariate time series without custom training using TimesFM, with point predictions, calibrated quantile intervals, and optional exogenous covariates.
★ 2 · Updated 2026-10-02
Build, fit, validate, compare, and use Bayesian models with PyMC, including hierarchical models, MCMC, variational inference, and predictive checks.
★ 2 · Updated 2026-09-30
Build, fit, validate, compare, and diagnose Bayesian models with PyMC using MCMC, variational inference, predictive checks, LOO, and WAIC.
★ 0 · Updated 2026-09-30
Build, fit, validate, diagnose, and compare Bayesian models with PyMC using MCMC, variational inference, and predictive checks.
★ 650 · Updated 2026-09-30
Builds, fits, validates, diagnoses, and compares Bayesian models with PyMC, including hierarchical models, MCMC, variational inference, predictive checks, and LOO/WAIC.