A pair of mathematicians, Kevin Course and Prasanth Nair at the University of Toronto's Institute for Aerospace Studies, has developed a new state-estimation method to create efficient forecasts ...

In recent years, artificial intelligence has demonstrated tremendous potential for the development and advancement of a wide variety of technologies. A good example is facial direction estimation, ...

Researchers propose a new method to generate meteorological data that takes into account the interdependence of meteorological factors, such as temperature, humidity, and solar radiation. Due to the ...

In econometrics and statistics, a structural break is revealed when a sudden change occurs in the way a business or market functions. Ignoring these breaks leads to forecast failure. New research by ...

In the rapidly evolving landscape of electric vehicles (EVs) and large-scale energy storage systems, accurate battery management remains a critical challenge. The state-of-charge (SOC) ...

Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.

We propose a demand estimation method that allows researchers to estimate substitution patterns from unstructured image and text data. We first employ a series of machine learning models to measure ...

The high-low method is used in cost accounting to estimate fixed and variable costs based on a business's highest and lowest levels of activity. By focusing on these extremes, the high-low method ...