The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Abstract: This paper focuses on the design and application of a multivariate financial time series prediction model based on the Transformer, with the goal of enhancing forecast accuracy and ...

Abstract: Entropy serves as an effective nonlinear dynamic indicator of time series complexity. A number of multivariate entropy methods exist and are effectively used in signal analysis. Existing ...

BENGALURU: In a significant move that could reshape home construction in Bengaluru, the govt Monday announced changes to long-contested building regulations for small residential plots, easing some of ...