In natural language, we often use imprecise and ambiguous terms to describe phenomena.  We use terms such as tall height, young man, low temperature, big city, […]

Prediction intervals (PPs) offer a convenient way to quantify forecast uncertainty, so they have been widely used in forecasting practice. PPs can provide information about best- […]

Recursive Neural Networks (RNNs) are used to model and predict variables that evolve over time. Unlike standard neural networks, they have the ability to remember the […]