Analysis of Improvements in Inflation Prediction Performance through the Use of Hybrid Filter Models and Many-to-one Neural Networks

@article{a.2026,
  title        = {{Analysis of Improvements in Inflation Prediction Performance through the Use of Hybrid Filter Models and Many-to-one Neural Networks}},
  author       = {A. J. Martínez Casares},
  journal      = {Computational Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10614-025-11220-8},
}

TY  - JOUR
TI  - Analysis of Improvements in Inflation Prediction Performance through the Use of Hybrid Filter Models and Many-to-one Neural Networks
AU  - Casares, A. J. Martínez
JO  - Computational Economics
PY  - 2026
ER  -

A. J. Martínez Casares (2026). Analysis of Improvements in Inflation Prediction Performance through the Use of Hybrid Filter Models and Many-to-one Neural Networks. *Computational Economics*. https://doi.org/https://doi.org/10.1007/s10614-025-11220-8

A. J. Martínez Casares. "Analysis of Improvements in Inflation Prediction Performance through the Use of Hybrid Filter Models and Many-to-one Neural Networks." *Computational Economics* (2026). https://doi.org/https://doi.org/10.1007/s10614-025-11220-8.

Analysis of Improvements in Inflation Prediction Performance through the Use of Hybrid Filter Models and Many-to-one Neural Networks
A. J. Martínez Casares · Computational Economics · 2026
https://doi.org/https://doi.org/10.1007/s10614-025-11220-8