The Spectral Rrepresentation of a Discrete Version of Blackwell's Markov Chain. [PDF]
Nieznaj E.
europepmc +1 more source
Conditions for deterministic limits of Markov jump processes : the Kurtz theorem in chemistry
Ada Sedova
openalex +2 more sources
Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che +4 more
wiley +1 more source
Ergodicity and regime recoverability in finite Markov-modulated random walks. [PDF]
Pambukyan A, Saudagar AKJ, Kumar S.
europepmc +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
A principled basis for nonequilibrium network flows. [PDF]
Yang YJ, Dill KA.
europepmc +1 more source
Legacy effects of redlining on the distribution of greenspaces in US cities
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo +4 more
wiley +1 more source
Modeling Peak Expiratory Flow in Patients With Asthma and Quantifying Treatment Effects Using a Mixed-Effects Hidden Markov Model. [PDF]
Jakobsson L +4 more
europepmc +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
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

