This is a preview. Log in through your library . Abstract Random utility models (RUMs) are used in the literature to model consumer choices from among a discrete set of alternatives, and they ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Researchers have developed advanced, non-destructive models to measure the aboveground biomass and volume of Populus euphratica, a keystone tree in desert riparian forests.

Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

By avoiding black box construction, and large numbers of variables, the FTSE Russell financial conditions indicators allow ...

The Long Term Growth Model (LTGM) is an Excel-based tool to analyze long-term growth scenarios building on the celebrated Solow-Swan Growth Model. The tool can also be used to assess the implications ...