Explore why Tesla, Inc.'s stock valuation diverges from fundamentals, with quantitative insights revealing overvaluation.

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

This meta-analysis from two nationwide cohorts indicates that SSRI and SNRI augmentation therapies for people with ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

This article expands the methods for analyzing satellite reliability by presenting a framework of measures to determine the best statistical distribution to use in data parameterization, and applying ...

Many prediction, decision-making, and control architectures rely on online learned Gaussian process (GP) models. However, most existing GP regression algorithms assume a single generative model, ...

Public trust in scientific integrity is eroded by the politicisation of institutions under Donald Trump's US presidency. The implications extend far beyond American borders, striking at the core of ...

The regression fitting diagram of the true value and the predicted value of the sample data of the T-BP neural network model for chloride diffusion coefficient of UHPC-CA are shown in Figure 9.