Kairos is a flexible and parameter-efficient Time Series Foundation Model (TSFM) designed to handle the dynamic and heterogeneous nature of real-world time series data. Unlike existing models that ...
College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...
In 2018–2020, meteorological droughts over Northwestern Europe caused severe declines in groundwater heads with significant damage to groundwater-dependent ecosystems and agriculture. The response of ...
The era of modern financial data modeling seeks machine learning techniques which are suitable for noisy and non-stationary big data. We demonstrate how a general class of exponential smoothed ...
This package contains a precision-agnostic, header-only, C++ implementation of Burg's recursive method for estimating autoregressive model parameters. Many usability-related extensions, in particular ...
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