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3 results for “prediction error”
When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation
A new arXiv preprint challenges the common practice of using nuisance-function prediction error as a proxy for causal estimator quality, showing via simulation that low prediction error does not reliably indicate low bias or good confidence interval coverage in causal inference.
Sep 2, 2026
Predictive Set Theory: A Generative Framework for Cognitive Architecture with Operationalized Core Mechanisms
A new theoretical framework called Predictive Set Theory (PST) is introduced in an arXiv preprint to formally define cognitive architecture using set-theoretic operations, aiming to resolve foundational gaps in predictive processing and Bayesian cognitive science.
Aug 5, 2026
StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting
Researchers introduce StateFlow, a dual-state recurrent modeling framework for long-horizon time series forecasting.
Published Jul 2, 2026 · Analyzed Jul 5, 2026