Chapter 11: Comet for Time Series Analysis
Time series analysis is the study of the evolution of phenomena over time, in order to predict their future trends. It finds its application in various sectors, such as the price trend of a given product, tourist flows to a given location, and the performance of a product on the stock exchange.
Generally speaking, a time series can be represented by different components, such as the trend, which can be increasing, stable or decreasing; the seasonality – that is, the repetition over time; and the presence of breaking points, due to external events, which interrupt its normal trend.
In this chapter, you will review some basic concepts behind time series analysis, including the concept of stationarity, ...
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