Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
Communications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
A hybrid framework for compartmental models enabling simulation-based inference. [PDF]
J Math BiolGermano DPJ +5 more
europepmc +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
Journal of Forecasting, Volume 45, Issue 5, Page 2173-2185, August 2026.ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
Field‐level crop choice responses to weather‐induced yield shocks in the US Corn Belt
American Journal of Agricultural Economics, Volume 108, Issue 4, Page 1048-1075, August 2026.Abstract As climate change increases the frequency and severity of extreme heat events, farmers are expected to face greater variability in crop yields. Using 10 million field‐level observations, this study examines how farmers in the US Corn Belt adjust corn–soybean rotation decisions in response to yield shocks largely driven by weather fluctuations.
Seunghyun Lee
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Nasal and oral breathing modes reconfigure brain network dynamics between stabilizing integration and promoting fragmentation. [PDF]
Sci RepMohammadi S +2 more
europepmc +1 more source
Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning
Battery Energy, Volume 5, Issue 4, July 2026.This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai +7 more
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Cost-effectiveness of semaglutide versus dulaglutide for Type 2 Diabetes in China: A Markov Model analysis. [PDF]
PLoS OneChen Q, Chen T, Lin W, Chen X.
europepmc +1 more source
Journal of Forecasting, Volume 45, Issue 4, Page 1579-1600, July 2026.ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
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The emergence of hyperendemic dengue in Bangladesh: An ecological study of structural breaks and transmission regime shifts, 2008-2025. [PDF]
PLoS OneHasan P +4 more
europepmc +1 more source
Regime‐Dependent Nowcasting of the Austrian Economy
Journal of Forecasting, Volume 45, Issue 4, Page 2078-2101, July 2026.ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley +1 more source