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papersTODAY 04:00 UTC

Survey Maps Probabilistic Forecasting Methods for Time Series and Spatiotemporal Data

A new arXiv survey examines how probabilistic forecasting methods have developed across time series and spatiotemporal research. The authors argue the field has grown fragmented, with statistical modeling, machine learning, and deep generative approaches advancing largely in parallel. The paper aims to organize this landscape and connect the differing methodological traditions used for forecasting under uncertainty.

arXiv deep generative models probabilistic forecasting spatiotemporal data statistical modeling time-series-forecasting

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGBeyond Point Forecasts: A Survey on Probabilistic Forecasting for Time Series and Spatiotemporal Data ↗TODAY 04:00 UTC