Papers for the 26th Conference on Probability and Statistics are solicited on the following:
Communicating probabilistic information and predictive skill
Documenting and forecasting climate change.
Ensemble and multi-model forecasting, including S2S
Extreme value analysis and prediction.
History of women in Prob/Stat and AI
Hybrid deep learning/statistical approaches
Methods of verification and evaluation of forecasts and their inter-comparison, including statistical significance, with a focus on high resolution applications and object based or process based methodologies
Physical interpretability in machine learning
Probabilistic Hydrometeorological Forecasting and Uncertainty Analysis
Probabilistic Observation-Based Cloud and Precipitation Properties for Weather and Climate
Probabilistic prediction and decision support, including ensemble and deterministic statistical post-processing.
Statistical Estimation Methods for Parameters of Observing and Assimilation Systems: Theory and Practice
The History and Impact of Operational Post-processing and Current Status
The history of the move from deterministic to probabilistic prediction