Second-hand vessel valuation: an extreme gradient boosting approach
| Autor: | Roar Adland, Hans Christian Olsen Harvei, Julius Jørgensen, Haiying Jia |
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| Rok vydání: | 2021 |
| Předmět: |
Statistics::Theory
Mathematical optimization Computer science Geography Planning and Development MathematicsofComputing_NUMERICALANALYSIS Ocean Engineering Transportation Management Monitoring Policy and Law Statistics::Computation Valuation (logic) Statistics::Machine Learning ComputingMethodologies_PATTERNRECOGNITION Lasso regression Benchmark (computing) Statistics::Methodology Extreme gradient boosting |
| Zdroj: | Maritime Policy & Management. 50:1-18 |
| ISSN: | 1464-5254 0308-8839 |
| DOI: | 10.1080/03088839.2021.1969601 |
| Popis: | We investigate the efficacy of the Extreme Gradient boosting (XGBoost) machine learning technique in desktop vessel valuation and compare it to benchmark models consisting of a LASSO regression, a ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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