Journal of Business & Economic Statistics, Vol. 35, No. 2, Special Issue on Regime Switching and Threshold Models (April 2017), pp. 306-317 (12 pages) This article proposes a mixture double ...

The ARIMA model is a statistical tool used to analyze time series data to understand trends or predict future outcomes, often applied in financial markets. ARIMA combines autoregressive and moving ...

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.

This research proposes a comprehensive ALG model (Adaptive Loglinear zero-inflated Generalized Poisson integer-valued GARCH) to describe the dynamics of integer-valued time series of crime incidents ...

Autoregressive models predict future sequence values based on past values using statistical techniques by collecting data over time.