Papers for the 27th Conference on Probability and Statistics are solicited on the following:
Comparison of Machine Learning with Simple Statistical Methods;
Ensemble and Multimodel Forecasting, including Postprocessing and Decision support;
Extreme Value Analysis and Prediction;
Novel Methods in Postprocessing;
Novel Methods of Verification and Evaluation of Forecasts;
Probabilistic Forecasting and Uncertainty Analysis;
Role of Verification, Validation, and Postprocessing in the Transition from Research to Operations;
Statistical Estimation Methods;
Use of Probability and Statistics in the Classroom;
Use of Synthesis Methods to Aid in Decision Making
Joint Sessions
Forecast verification methods and performance (Joint between the 31st Conference on Weather Analysis and Forecasting (WAF)/27th Conference on Numerical Weather Prediction (NWP) and the 27th Conference on Probability and Statistics);
Joint Session on Terrestrial and Space Weather General Model Validation Techniques (Joint between the 19th Conference on Space Weather and the 27th Conference on Probability and Statistics);
New ensemble generation or probabilistic-based forecasting techniques (Joint between the 31st Conference on Weather Analysis and Forecasting (WAF)/27th Conference on Numerical Weather Prediction (NWP) and the 27th Conference on Probability and Statistics);
Physical Interpretability in Machine Learning;
Statistics and Machine Learning for Climate Science (Joint between the 27th Conference on Probability and Statistics, the 35th Conference on Climate Variability and Change, and the 21st Conference on Artificial Intelligence for Environmental Science).