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ARMA & ARIMA

Image by Elijah Grimm In this article we will cover the ARMA and ARIMA based statistical models, cover the maths behind these models, and look at the statistical test required prior and the post the model fitting. I’d recommend reading the previous article here before reading the remainder of this article. In that article we cover the basics of what is a time series and how we could model it. Definitions: Recall from our previous article that given a sequence of data points $\{ X_{t}, t \in \mathbb{Z} \}$, the sequence is strongly stationary or strictly stationary if
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What is a Time Series & How can we Model it?

Image by Oğuzhan Kıran This article will cover what is a time series, what does it mean for a time series to be stationary, and how could an autoregressive process or moving average process be used to model the time series. Before starting this article, I would like to mention the Cambridge notes from here form the foundation of this content. What is a Time Series? In short, time series is area of statistics which focuses on describing a set of data points which are collected on regular intervals by fitting low-dimensional models and making forecasts.