Post-modern portfolio theory uses downside risk to refine portfolio optimization. Learn how PMPT offers an alternative to modern portfolio theory for risk-adjusted returns.
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 ...
Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Support your favorite charitable organizations even in retirement. Many, or all, of the products featured on this page are from our advertising partners who compensate us when you take certain actions ...
Abstract: Due to the nonstationary nature, the distribution of real-world multivariate time series (MTS) changes over time, which is known as distribution drift. Most existing MTS forecasting models ...
Abstract: Rolling element bearings are crucial key components in rotating machinery, and it is essential to monitor their condition to prevent unexpected breakdown or safety incidents. However, ...
Hundreds of popular items sold under recognizable brand names in small grocery stores and markets across Indiana and Minnesota are being recalled after it was found they may be contaminated with ...
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