Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed.

Time series regression problems are usually quite difficult, and there are many different techniques you can use. In this article I'll show you how to do time series regression using a neural network, ...

Ordinary regression analysis is based on several statistical assumptions. One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression ...

The sheer volume and velocity of time series measurements, as seen in examples ranging from self-driving cars to space-bound rockets, necessitate high ingest rates, efficient data compression and ...

Our research group develops statistical methods in high-dimensional inference and dimension reduction for various kinds of data, including panel and tensor time series data, inferential analysis on ...