5 min
Granger Causality test is a statistical test that is used to determine if a given time series and it’s lags is helpful in explaining...
3 min
Introduced in 1969 by Clive Granger, Granger causality test is a statistical test that is used to determine if a particular time series is...
25 min
Using ARIMA model, you can forecast a time series using the series past values. In this post, we build an optimal ARIMA model from...
6 min
Line plot is a type of chart that displays information as a series of data points connected by straight line segments. A line plot...
6 min
Augmented Dickey Fuller test (ADF Test) is a common statistical test used to test whether a given Time series is stationary or not. It...
6 min
KPSS test is a statistical test to check for stationarity of a series around a deterministic trend. Like ADF test, the KPSS test is...
24 min
Vector Autoregression (VAR) is a forecasting algorithm that can be used when two or more time series influence each other. That is, the relationship...
27 min
Time series is a sequence of observations recorded at regular time intervals. This guide walks you through the process of analyzing the characteristics of...
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