Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations. [PDF]
Than HT.
europepmc +1 more source
National and regional Temporal trends and forecasting of preterm birth in brazil: evidence from National birth data (2014-2023) with projections to 2030. [PDF]
Victor A +8 more
europepmc +1 more source
Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]
Li JC, Guo J, Ma R, Zhong G.
europepmc +1 more source
Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis. [PDF]
Teja MD, Rayalu GM.
europepmc +1 more source
Enhancing Prediction by Incorporating Entropy Loss in Volatility Forecasting. [PDF]
Urniezius R +9 more
europepmc +1 more source
Early warning of regime switching in a financial time series: A heteroskedastic network model. [PDF]
Wang L, An S, Dong Z, Dong X, Li J.
europepmc +1 more source
Investigating the impact of investor attention on AI-based stocks: A comprehensive analysis using quantile regression, GARCH, and ARIMA models. [PDF]
Ravichandran S, Afjal M.
europepmc +1 more source
Perception and Prediction of Factors Influencing Carbon Price: Multisource, Spatiotemporal, Hierarchical Federated Learning Framework with Cross-Modal Feature Fusion. [PDF]
Wang P, Zhou X.
europepmc +1 more source
AI-Carbon-Energy: Spillover effects and drivers in interconnected markets. [PDF]
Zhang M, Pan Y, Su B, Zhou D.
europepmc +1 more source
Sample splitting and assessing goodness-of-fit of time series. [PDF]
Davis RA, Fernandes L.
europepmc +1 more source

