The U.S. Nuclear Regulatory Commission (NRC) on July 15, 2026, published a proposed rule titled "Reforming and Modernizing the NRC's ...

This package implements spatio-temporal autoregressive moving average (STARMA)–type models that account for both spatial and temporal dependence. Spatial dependence is introduced via spatial weight ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

This repository now supports Structured Linear Controlled Differential Equations (SLiCEs), which replace the non-linear vector fields of NCDEs and Log-NCDEs with structured linear vector fields, ...

National Institute of Advanced Industrial Science and Technology (AIST) Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...

Abstract: Recent visualization research efforts have incorporated experimental techniques and perceptual models from the vision science community. Perceptual laws such as Weber's law, for example, ...

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...