VAR models analyse and predict multivariate time series data, unlike univariate autoregressive models. These models are particularly useful in fields such as economics and weather forecasting. Vector ...

VAR is a system of equations that expresses each variable as a linear function of its own past values and the past values of other variables. For example, if you want to forecast the inflation rate ...

Vector autoregression (VAR) should be your first go-to statistical model. Assume you have observed a vector time series. It is better to immediately consider the vector case, with vector size larger ...

An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages ...

Abstract: This paper presents macroeconomic forecasting by using a time-varying Bayesian compressed vector autoregression approach. We apply a random compression by using projection matrix to randomly ...

This study aims to build an efficient small-scale macroeconomic forecasting tool for Maldives using Bayesian vector autoregression estimations to circumvent the "curse of dimensionality" and ...

Forecasting solar irradiance is a critical task in the renewable energy sector, as it provides essential information regarding the potential energy production from solar panels. This study aims to ...