Another significant area of research is the statistical analysis of multivariate discrete-valued time series. This involves using observation-driven models and higher-order Markov chains to ...

Researchers have demonstrated a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the Laser Interferometer Gravitational-Wave Observatory.

Ikigai Labs, the leader in AI for enterprise tabular and time-series data, today announced the launch of its new Demand Forecasting and Planning solution. Built to address the growing complexity of ...

Although fans of A Song of Ice and Fire might still be hankering for the long-delayed next book in the series, bestselling ...

Although fans of A Song of Ice and Fire might still be hankering for the long-delayed next book in the series, bestselling ...

Smartwatches that can collect physical and physiological data on users could be potentially interesting tools in biomedicine ...

Abstract: Quantitative trading is a prominent field that employs time series analysis today ... in financial documents and introduces causality-based correlations between multivariate stocks in a ...

A study reveals that smartwatch data can predict psychiatric illnesses, uncover genetic links, and improve treatment options, ...