Categorical-or qualitative-time series data with random time-dependent covariates are frequently encountered in diverse applications as the list of examples shows. As with "ordinary" time series, the ...

Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

The embedded Python Processing Engine in InfluxDB 3 allows developers to write Python code that analyzes and acts on time series data in real time. In 2017, I was developing software focused on ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

When regression is performed on time series data, the errors may not be independent. Often errors are autocorrelated; that is, each error is correlated with the error ...

SAN FRANCISCO, April 15, 2025--(BUSINESS WIRE)--InfluxData, creator of the leading time series database, today announced the general availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, the ...