How Does LLM Help Regional CPI Forecast: An LLM-powered Deep Panel Modeling Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Tianchen, Sun, Ao, Wang, Yurou, Liu, Jingyuan, Hsiao, Cheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM-powered Real-time Patent Citation Recommendation for Financial Technologies
by: Deng, Tianang, et al.
Published: (2026)
by: Deng, Tianang, et al.
Published: (2026)
LLM-Powered CPI Prediction Inference with Online Text Time Series
by: Fan, Yingying, et al.
Published: (2025)
by: Fan, Yingying, et al.
Published: (2025)
Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models
by: Liu, Kun, et al.
Published: (2025)
by: Liu, Kun, et al.
Published: (2025)
Are Large Language Models able to Predict Highly Cited Papers? Evidence from Statistical Publications
by: Ye, Zhanshuo, et al.
Published: (2026)
by: Ye, Zhanshuo, et al.
Published: (2026)
Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey
by: Ren, Yinuo, et al.
Published: (2025)
by: Ren, Yinuo, et al.
Published: (2025)
Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)
by: Yu, Jiaxin, et al.
Published: (2024)
Does Spatial Information Improve Influenza Forecasting?
by: Thivierge, Gabrielle, et al.
Published: (2024)
by: Thivierge, Gabrielle, et al.
Published: (2024)
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
by: Xu, Tianchen, et al.
Published: (2023)
by: Xu, Tianchen, et al.
Published: (2023)
Quasi-Maximum Likelihood Estimation for a Genuinely Unbalanced Dynamic Network Panel Data Model
by: Wang, Zhijian, et al.
Published: (2025)
by: Wang, Zhijian, et al.
Published: (2025)
Semiotic Reconstruction of Destination Expectation Constructs An LLM-Driven Computational Paradigm for Social Media Tourism Analytics
by: Lan, Haotian, et al.
Published: (2025)
by: Lan, Haotian, et al.
Published: (2025)
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
A Pattern‐Referencing Model for Hourly Temperature Forecasting in Coastal Regions
by: Nan‐Jing Wu, et al.
Published: (2025)
by: Nan‐Jing Wu, et al.
Published: (2025)
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)
by: Liu, Xueqing, et al.
Published: (2023)
Bayesian Deep Count Regression and Anomaly Detection: Evidence from GDELT Event Panels
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
Forensic Science and How Statistics Can Help It: Evidence, Hypothesis Testing, and Graphical Models
by: Xu, Xiangyu, et al.
Published: (2023)
by: Xu, Xiangyu, et al.
Published: (2023)
Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions
by: Berk, Richard A., et al.
Published: (2025)
by: Berk, Richard A., et al.
Published: (2025)
Assessing Spatial Accuracy of Lightning Forecasts Over India: Supporting Impact‐Based Forecasting for Vulnerable Regions
by: Harvir Singh, et al.
Published: (2025)
by: Harvir Singh, et al.
Published: (2025)
How to Correctly Report LLM-as-a-Judge Evaluations
by: Lee, Chungpa, et al.
Published: (2025)
by: Lee, Chungpa, et al.
Published: (2025)
Graph Neural Poisson Models for Supply Chain Relationship Forecasting
by: Xiang, Ling, et al.
Published: (2025)
by: Xiang, Ling, et al.
Published: (2025)
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions
by: Ling, Jiahe, et al.
Published: (2025)
by: Ling, Jiahe, et al.
Published: (2025)
Can Generalized Extreme Value Model Fit the Real Stocks
by: Lin, Sen, et al.
Published: (2024)
by: Lin, Sen, et al.
Published: (2024)
Bayesian Cointegrated Panels in Digital Marketing
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)
Adaptation and Validation of the Turkish Version of the Large Language Model Dependency Scale (LLM-D12)
by: Aslan, Tugba Coskun, et al.
Published: (2026)
by: Aslan, Tugba Coskun, et al.
Published: (2026)
Forecasting Extreme High Summer Temperatures in Paris and Cairo Using Gradient Boosting and Conformal Prediction Regions
by: Berk, Richard A.
Published: (2025)
by: Berk, Richard A.
Published: (2025)
A Statistical Framework for District Energy Long-term Electric Load Forecasting
by: Royal, Emily, et al.
Published: (2025)
by: Royal, Emily, et al.
Published: (2025)
Heterogeneous gene network estimation for single-cell transcriptomic data via a joint regularized deep neural network
by: Yang, Jingyuan, et al.
Published: (2025)
by: Yang, Jingyuan, et al.
Published: (2025)
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
by: Song, Xinyi, et al.
Published: (2025)
by: Song, Xinyi, et al.
Published: (2025)
Mortality Modeling and Forecasting with the Actuaries Climate Index
by: Barigou, Karim, et al.
Published: (2025)
by: Barigou, Karim, et al.
Published: (2025)
Improving Outbreak Forecasts Through Model Augmentation
by: Gibson, Graham C., et al.
Published: (2025)
by: Gibson, Graham C., et al.
Published: (2025)
Mortality Forecasting with Generalized Additive Mixed Models
by: Dastranj, Reza, et al.
Published: (2023)
by: Dastranj, Reza, et al.
Published: (2023)
A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
by: Majumder, Reetam, et al.
Published: (2022)
by: Majumder, Reetam, et al.
Published: (2022)
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
by: Jiang, Manrui, et al.
Published: (2026)
by: Jiang, Manrui, et al.
Published: (2026)
Forecasting solar power output in Ibadan: A machine learning approach leveraging weather data and system specifications
by: Urhuerhi, Obarotu Peter, et al.
Published: (2025)
by: Urhuerhi, Obarotu Peter, et al.
Published: (2025)
Biomarker combination based on the Youden index with and without gold standard
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
ICBeLLM: High Quality International Events Data with Open Source Large Language Models on Consumer Hardware
by: Douglass, Rex W., et al.
Published: (2024)
by: Douglass, Rex W., et al.
Published: (2024)
Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)
by: Bao, Yihan, et al.
Published: (2023)
Reorienting Age-Friendly Frameworks for Rural Contexts: A Spatial Competence-Press Framework for Aging in Chinese Villages
by: Gao, Ziyuan
Published: (2025)
by: Gao, Ziyuan
Published: (2025)
A Novel Framework for Modeling Quarantinable Disease Transmission
by: Liu, Wenchen, et al.
Published: (2025)
by: Liu, Wenchen, et al.
Published: (2025)
Similar Items
-
LLM-powered Real-time Patent Citation Recommendation for Financial Technologies
by: Deng, Tianang, et al.
Published: (2026) -
LLM-Powered CPI Prediction Inference with Online Text Time Series
by: Fan, Yingying, et al.
Published: (2025) -
Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models
by: Liu, Kun, et al.
Published: (2025) -
Are Large Language Models able to Predict Highly Cited Papers? Evidence from Statistical Publications
by: Ye, Zhanshuo, et al.
Published: (2026) -
Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey
by: Ren, Yinuo, et al.
Published: (2025)