A time series is a sequence of numerical data points in successive order. In investing, it tracks the movement of the chosen data points at regular intervals and over a specified period of time.

As generative AI technologies become more mainstream, it's a good time to explore some of the other aspects that make up AI.

Biological processes are inherently dynamic and therefore capturing data about gene expression at multiple time points can provide valuable insights into biological systems. This Review discusses ...

P. Whittle, The Analysis of Multiple Stationary Time Series, Journal of the Royal Statistical Society. Series B (Methodological), Vol. 15, No. 1 (1953), pp. 125-139 ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into info… ...

We describe a Bayesian hierarchical model to analyze autoregressive time series panel data. We develop two algorithms using Markov-chain Monte Carlo methods, a restricted algorithm that enforces ...

Analysis-Ready PlanetScope shows improved radiometric consistency over time and spatially-composite PlanetScope Scenes yield more complete coverage over AOIs.