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 ...

Learn how spectroscopy facilitates non-invasive, real-time bio-monitoring, enhancing decision-making in healthcare, ...

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...

Department of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania 16801, United States Department of Energy and Mineral Engineering, Pennsylvania State University, ...

1 Department of Agricultural Economics, Banaras Hindu University, Varanasi, UP, India 2 Centre for Comparative Politics & Political Theory, School of International Studies, Jawaharlal Nehru University ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Article Views ...

Abstract: With the development of sensor technology, time series data gradually exhibits high-dimensional and multivariate characteristics. Therefore, accurately revealing the potential causal ...

You may have come across the term 'gaslighting' while casually scrolling on TikTok or in an Instagram infographic, and wondered if it's happening you. The origins of the word 'gaslight' come from a ...