Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This technical note discusses time-series data. The note explains the concept of a time ...

Learn how to do time series regression using a neural network, with 'rolling window' data, coded from scratch, using Python.

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...

Many forecasting or prediction problems involve time series data. That makes XGBoost an excellent companion for InfluxDB, the open source time series database.

Richard H. Jones, Time Series Regression with Unequally Spaced Data, Journal of Applied Probability, Vol. 23, Essays in Time Series and Allied Processes (1986), pp. 89-98 ...

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis.

We present the sampling distributions for the coefficient of skewness, kurtosis, and a joint test of normality for time series observations. We show that when the data are serially correlated, ...