AI Paper Atlas

Research map / Time series / Long-term forecasting

Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks

AAAI 2016 · Time series › Long-term forecasting · approach: Lightweight long-term forecasters · 12 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add graph structure (extended GCRF) to a linear unstructured predictoriterative linear regression · Disease admission and mortality, 48 months aheadMSE (multi-step)Helped
extended GCRF with linear predictor vs nonlinear iterative GPIGP · Disease admission and mortality, single stepMSE (one step)No clear effect
extended GCRF vs nonlinear iterative GPIGP · Disease admission and mortality, 48 months aheadMSE (multi-step)Helped
extended GCRF vs ILR and IGPILR and IGP · Precipitation, 96 months aheadMSEHelped
propagate input uncertainty into predictive variance via second-order Taylor correctionGCRF · Septicemia admission, 48 monthsuncertainty tracks prediction errorHelped
propagate input uncertainty (GCRF) vs IGP self-estimated confidenceIGP · Precipitation, 96 monthsuncertainty propagationHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy