StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
MATLAB library for Bayesian state space models: precision-based samplers that draw the whole state path at once, for unobserved components, time-varying parameter, stochastic volatility and dynamic factor models, with examples and the replication packages from joshuachan.org.
Replication code for "A Model of the Fed's View on Inflation".
Bayesian unobserved components models for US trend inflation, the output gap and trend output growth, with quarterly updated estimates.
Aplicación de distintos modelos de series temporales a las salidas de pasajeros del Aeropuerto de Menorca.
Replication of Farmer, Nakamura & Steinsson (2024) on learning about the long run, with reproducibility engineering and an epoch-sensitivity extension.
Unobserved Components Model (UCM) (Harvey (1989)) performs a time series decomposition into components such as trend, seasonal, cycle, and the regression effects due to predictor series.
Replication code for "Analysing inflation with semi-structural models".
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