# Tutorials These tutorials walk you through Impulso's core workflow: fitting a Bayesian VAR, producing probabilistic forecasts, and running structural analysis. They assume familiarity with regression and autoregressive models but explain VAR-specific concepts as they arise. | Tutorial | What you'll learn | |----------|-------------------| | [Fitting Your First Bayesian VAR](quickstart.py) | Data loading, lag selection, model fitting, posterior inspection | | [The Minnesota Prior, From Scratch](minnesota-prior.py) | Why VARs need shrinkage, the prior's maths, prior predictive checks, tuning `tightness` | | [Probabilistic Forecasts](forecasting.py) | Multi-step forecasts, credible intervals, fan charts | | [Structural Shocks and Their Effects](structural-analysis.py) | Cholesky identification, impulse responses, FEVD, historical decomposition | | [Model Checks and Validation](model-checking.py) | Stationarity pretests, prior predictive checks, MCMC diagnostics in ArviZ, posterior predictive checks | | [Monetary Policy Analysis](monetary-policy.py) | Policy reaction functions, scenario analysis | | [Stochastic Volatility](stochastic-volatility.py) | Time-varying residual volatility via univariate SV: fit, interpret, and forecast | | [Oil Supply News with an External Instrument](proxy-svar.py) | Proxy-SVAR identification, external instruments, Känzig (2021) replication | | [The Conjugate VAR](conjugate-var.py) | Closed-form NIW estimation, data-selected shrinkage, conjugate-vs-NUTS comparison | | [Estimating a VAR after March 2020](post-march-2020.py) | Conjugate NIW VAR, COVID volatility break, conditional forecasts, Lenza & Primiceri (2022) replication | | [Counterfactuals & Scenario Analysis](scenario-analysis.py) | Historical counterfactuals, conditional forecasts, structural scenarios, plausibility statistics | Start with the **Quickstart** if you're new to Impulso, then read **The Minnesota Prior** to understand the shrinkage the Quickstart switched on by default. The Forecasting and Structural Analysis tutorials build on concepts introduced there. ```{toctree} :hidden: :maxdepth: 1 quickstart minnesota-prior forecasting structural-analysis monetary-policy model-checking stochastic-volatility proxy-svar conjugate-var post-march-2020 scenario-analysis ```