Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score
based on the predictive distribution and on the event or value that materializes. A scoring …

In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

Probabilistic forecasts in the form of probability distributions over future events have become
popular in several fields including meteorology, hydrology, economics, and demography. In …

Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model
Output Statistics in: Monthly Weather Review Volume 144 Issue 6 (2016) Jump to Content …

Phenology is the study of recurring biological events and its relationship to climate. Circular
statistics is an area of statistics not very much used by ecologists nor by other researchers …

Context. The need to analyze the available large synoptic multi-band surveys drives the
development of new data-analysis methods. Photometric redshift estimation is one field of …

The current weather forecasting paradigm is deterministic, based on numerical models.
Multiple estimates of the current state of the atmosphere are used to generate an ensemble …

Research and development of new verification strategies and reassessment of traditional
forecast verification methods has received a great deal of attention from the scientific …

We discuss methods for the evaluation of probabilistic predictions of vector-valued
quantities, that can take the form of a discrete forecast ensemble or a density forecast. In …

As wind energy penetration continues to grow, there is a critical need for probabilistic
forecasts of wind resources. In addition, there are many other societally relevant uses for …