Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

Discover how continuous compound interest maximizes returns with ongoing calculations. Explore concepts and examples to ...

Abstract: Edge Gaussian splatting (EGS), which aggregates data from distributed clients (e.g., drones) and trains a global GS model at the edge (e.g., ground server), is an emerging paradigm for scene ...

Abstract: In cases involving a rough interface, the echo frequency behavior of ultrawideband ground-penetrating radar (UWB-GPR) approximates a nonlinear Gaussian function. This characteristic leads to ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.