Nov. 22, 2022, 6:31 p.m. | Michał Cukrowski

Towards Data Science - Medium towardsdatascience.com

Threshold Autoregressive Models — beyond ARIMA + R Code

Meet TAR — a nonlinear extension of the autoregressive model.

by 3844328

Introduction

When it comes to time series analysis, academically you will most likely start with Autoregressive models, then expand to Autoregressive Moving Average models, and then expand it to integration making it ARIMA. The next steps are usually types of seasonality analysis, containing additional endogenous and exogenous variables (ARDL, VAR) eventually facing cointegration. And from this moment on things …

arima autoregressive models code machine learning nonlinear-time-series thoughts-and-theory threshold time series forecasting

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