f(Q) gravity as a possible resolution of the H<sub>0</sub> and S<sub>8</sub> tensions with DESI DR2. [PDF]
Kavya NS, Swagat Mishra S, Sahoo PK.
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
Multi-Sensor Collaborative Positioning in Range-Only Single-Beacon Systems: A Differential Chan-Gauss-Newton Algorithm with Sequential Data Fusion. [PDF]
Ye Y, He H, Lin E, Tang H.
europepmc +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
Balance equations for physics-informed machine learning. [PDF]
Molnar SM, Godfrey J, Song B.
europepmc +1 more source
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley +1 more source
Emergence of Calabi-Yau manifolds in high-precision black-hole scattering. [PDF]
Driesse M +7 more
europepmc +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Symplectic Geometry of Teichmüller Spaces for Surfaces with Ideal Boundary. [PDF]
Alekseev A, Meinrenken E.
europepmc +1 more source
ABSTRACT This study investigates how the personal characteristics of finance ministers influence political budget cycles in Africa. Using a new dataset covering 300 finance ministers across 23 countries from 1980 to 2020, we find that political budget cycles primarily take the form of increased government consumption during election years.
Christine Olivia Strong
wiley +1 more source

