Penjelasan mengenai Regresi

This document introduces the use of Autoregressive (AR) models for time series forecasting in Python. AR models provide a simple yet useful framework to predict future values based on past observations. We begin by estimating the AR(1) model. We then implement a forecast evaluation strategy by splitting the data into training and testing samples, which allows us to assess the model’s out-of-sample predictive accuracy.

Just testing

Elaboración propia a partir de datos de CONAPO e INEGI, como parte del curso de R con Noé Osorio