Nature

Latent Variable Modeling and Estimation Techniques

Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...
Nature

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

Experimental data and mathematical models are beginning to take equal billing in systems biology. Experimental observations without a framework in which to link them offer researchers only limited ...
National Academies of Sciences%2c Engineering%2c and Medicine

Transforming the Financing of Early Care and Education

Suggested Citation: "Appendix B: Cost Estimation Models." National Academies of Sciences, Engineering, and Medicine. 2018. Transforming the Financing of Early Care and Education. Washington, DC: The ...
EurekAlert!

A novel SOC estimation model: combining machine learning and Kalman filtering

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...