Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
IEEE

Temporal Convolutional Kolmogorov–Arnold Networks-Based Multivariate Regression for Unmanned Aerial Vehicle Flight Data Anomaly Detection and Recovery

Abstract: With the rapid development and wide application of unmanned aerial vehicles (UAVs), concerns about their safety and reliability are increasing. Anomaly detection of flight data and ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
IEEE

Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression

Abstract: Learning-based motion planning methods have shown significant promise in enhancing the efficiency of traditional algorithms. However, they often face performance degradation in novel ...
Khel Now

Statistical Regression vs. Breakout: NBA Players Who Might Decline in 2025-26

Regression talk isn’t about tearing players down; it’s about spotting when a huge season sits on factors that are hard to duplicate. The 2025-26 conversation needs that balance, because some stars ...