Understanding Multivariate Models: Forecasting Investment Outcomes

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

Mulr4FL: Effective Fault Localization of Evolution Software Based on Multivariate Logistic Regression Model

Abstract: Fault localization is indeed tedious and costly work during software maintenance. Studies indicate that combining both structural features and behavior characteristics of programs can be ...
BMJ Open

Associations of functional foods consumption with gastrointestinal and musculoskeletal conditions: a cross-sectional study among Bangladeshi adults

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) disorders; however, evidence from cross-sectional studies in adults remains ...
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 ...