Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach

Research article (Maritime Transport Research, 2020) · cited 47× · AI/ML
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Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach

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Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-the-relationship-between-seaborne-trade-and-shipping-freight-rates-a-bayesian-vector-autoregressive-approach
MLA “Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-the-relationship-between-seaborne-trade-and-shipping-freight-rates-a-bayesian-vector-autoregressive-approach.
BibTeX @misc{4ortxyz_quantifying-the-relationship-between-seaborne-trade-and-shipping-freight-rates-a-bayesian-vector-autoregressive-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-the-relationship-between-seaborne-trade-and-shipping-freight-rates-a-bayesian-vector-autoregressive-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach — https://4ort.xyz/entity/quantifying-the-relationship-between-seaborne-trade-and-shipping-freight-rates-a-bayesian-vector-autoregressive-approach (retrieved 2026-05-24)

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