Results 141 to 150 of about 2,428 (253)
Regional convergence and spatial dynamics of physician workforce distribution across regions in Türkiye (2008-2023). [PDF]
Koç AD.
europepmc +1 more source
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park +5 more
wiley +1 more source
Spatial econometric analysis of health workforce distribution and its influencing factors in Inner Mongolia, China. [PDF]
Hu J, Xu L, Li X, Liu S.
europepmc +1 more source
A Novel Text‐Based Framework for Forecasting Carbon Prices
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley +1 more source
Maximum likelihood estimation of matrix exponential spatial specification on seemingly unrelated regression-spatial autoregressive model. [PDF]
Marsono, Setiawan, Kuswanto H.
europepmc +1 more source
Fading Attention and the Pricing of Default Risk in the German Market for Structured Products
ABSTRACT Structured retail products are unsecured bonds subject to the default risk of the issuer. We analyze the price‐setting policy of issuers with respect to this default risk. Using a long‐term data set of discount certificates in the German market, we apply a time series IVX‐approach to find that (i) quoted prices do depend on issuer default risk,
Rainer Baule, Falk Jensen
wiley +1 more source
The spatiotemporal effects of electrification on China's synergistic pollution and carbon reduction efficiency. [PDF]
Chen W +5 more
europepmc +1 more source
The current study examines the role of Fintech, wind energy, and green technology in determining environmental suitability in Germany from 2000 to 2024. The study employs time series econometric methods to estimate the QQR and QR techniques. The positive effects of wind production, FinTech, Natural Resources and green technology on environmental ...
Hind Alofaysan, Kamel Si Mohammed
wiley +1 more source

