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.

This paper discusses a quasi-likelihood (QL) approach to regression analysis with time series data. We consider a class of Markov models, referred to by Cox (1981, Scandinavian Journal of Statistics 8 ...

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 ...

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