Abstract: Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting ...

ABSTRACT: Sacred sites (forests, lakes, mountains, etc.) play an important role in the sustainable use of natural resources and in particular the conservation of biodiversity. As such, in recent years ...

This valuable study introduces a model to help researchers understand how multivariate processes affect observed relationships in genetic data. The authors provide a tool to estimate model parameters.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...

There is a quite large literature when multivariate endog include discrete or both continuous and discrete random variables. We currently don't have cdf and pdf for copulas that include a discrete ...

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Subscribe to read this story ad-free Get unlimited access to ad-free ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Abstract: Multivariate time series forecasting plays a critical role in fields such as finance, health, weather, and energy. However, multivariate time series data encountered in real-world settings ...