Forecasts are issued as point or probabilistic predictions, and their performance is measured using consistent scoring functions or proper scoring rules. We identify classes of elementary members of these performance measures and develop diagnostic tools to assist in the ranking of forecasters. Rankings are subject to the choice of evaluation criterion and the sampling variability. We also provide guidance in the computation of a particular scoring rule, the continuous ranked probability score
The scoringutils package provides a collection of metrics and proper scoring rules and aims to make ...
Scoring rules are an important tool for evaluating the performance of probabilistic forecasting sche...
Forecast verification is important across scientific disciplines, as it provides a framework for eva...
The paper provides an overview of probabilistic forecasting and discusses a theoretical framework fo...
Probabilistic forecasts in the form of probability distributions over future events have become popu...
In the practice of point prediction, it is desirable that forecasters receive a directive in the for...
The evaluation of forecast performance plays a central role both in the interpretation and use of fo...
This note gives an easily verified necessary and sufficient condition for one probability forecaster...
Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confide...
Questions remain regarding how the skill of operational probabilistic forecasts is most usefully eva...
Calibration, the statistical consistency of forecast distributions and the observations, is a centra...
Motivated by the Basel 3 regulations, recent studies have considered joint forecasts of Value-at-Ris...
<p> Probability forecasts play an important role in many decision and risk analysis applications. Re...
Probabilistic forecast plays a major role in many applications where forecast is needed together wit...
Forecasting of risk measures is an important part of risk management for financial institutions. Va...
The scoringutils package provides a collection of metrics and proper scoring rules and aims to make ...
Scoring rules are an important tool for evaluating the performance of probabilistic forecasting sche...
Forecast verification is important across scientific disciplines, as it provides a framework for eva...
The paper provides an overview of probabilistic forecasting and discusses a theoretical framework fo...
Probabilistic forecasts in the form of probability distributions over future events have become popu...
In the practice of point prediction, it is desirable that forecasters receive a directive in the for...
The evaluation of forecast performance plays a central role both in the interpretation and use of fo...
This note gives an easily verified necessary and sufficient condition for one probability forecaster...
Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confide...
Questions remain regarding how the skill of operational probabilistic forecasts is most usefully eva...
Calibration, the statistical consistency of forecast distributions and the observations, is a centra...
Motivated by the Basel 3 regulations, recent studies have considered joint forecasts of Value-at-Ris...
<p> Probability forecasts play an important role in many decision and risk analysis applications. Re...
Probabilistic forecast plays a major role in many applications where forecast is needed together wit...
Forecasting of risk measures is an important part of risk management for financial institutions. Va...
The scoringutils package provides a collection of metrics and proper scoring rules and aims to make ...
Scoring rules are an important tool for evaluating the performance of probabilistic forecasting sche...
Forecast verification is important across scientific disciplines, as it provides a framework for eva...