Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning. [PDF]
Tjøstheim D.
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Cointegration and Forward and Spot Exchange Rate Regressions [PDF]
In this paper we investigate in detail the relationship between models of cointegration between the current spot exchange rate, st, and the current forward rate, ft, and models of cointegration between the future spot rate, st+1, and ft and the ...
Eric Zivot
core
Agricultural carbon footprints, renewable energy and sustainable development in Asia. [PDF]
Liu H, Liu Y.
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Food Production Index Forecasting for Sustainable Food Systems in Türkiye: A Machine Learning-Based Approach. [PDF]
Balci Torun F +4 more
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The impacts of the refugee population, renewable energy consumption, carbon emissions, and economic growth on health expenditure in Turkey: new evidence from Fourier-based analyses. [PDF]
Aydin M, Bozatli O.
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Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy. [PDF]
Tang Y, Gao Z, Cai Z, Yu J, Qin P.
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Research on New Methods of Topic Mining and Topic Prediction for Medical Preprints on Emerging Infectious Diseases. [PDF]
Liang Z +4 more
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Climate change as a game changer: Rethinking Africa's food security- health outcome nexus through a multi-sectoral lens. [PDF]
Wang W +3 more
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Past trajectories and future landscapes of urban drought resilience in China. [PDF]
Wang H +7 more
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New insights into Korea's trade relations: A comprehensive FNARDL analysis with 18 global partners. [PDF]
Kim MJ, Budiharseno RS, Trung TT.
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