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المؤلفون: Mikkel Bennedsen, S.J. Koopman, Eric Hillebrand
المساهمون: Econometrics and Data Science, Tinbergen Institute
المصدر: Bennedsen, M, Hillebrand, E & Koopman, S J 2023, ' A multivariate dynamic statistical model of the global carbon budget 1959-2020 ', Journal of the Royal Statistical Society. Series A: Statistics in Society, vol. 186, no. 1, pp. 20-42 . https://doi.org/10.1093/jrsssa/qnac014
Journal of the Royal Statistical Society. Series A: Statistics in Society, 186(1), 20-42. Wiley-Blackwellمصطلحات موضوعية: Statistics and Probability, Economics and Econometrics, climate econometrics, airborne fraction, COconcentrations, global carbon budget, SDG 13 - Climate Action, Statistics, Probability and Uncertainty, COemissions, sink rate, Social Sciences (miscellaneous)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9268c1979cfc21a121a0bae008a5b131
https://research.vu.nl/en/publications/0e83f9c8-0256-4fbd-a04b-37115b9c2f2b -
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المؤلفون: Mikkel Bennedsen, Eric Hillebrand, Siem Jan Koopman
المساهمون: Econometrics and Data Science, Tinbergen Institute
المصدر: Nature, 616(7956), E1-E3. Nature Publishing Group
Bennedsen, M, Hillebrand, E & Koopman, S J 2023, ' On the evidence of a trend in the CO2 airborne fraction ', Nature, vol. 616, no. 7956, pp. E1-E3 . https://doi.org/10.1038/s41586-023-05871-6
Bennedsen, M, Hillebrand, E & Koopman, S J 2023, ' On the evidence for a trend in the CO2 airborne fraction? ', Nature (Matters Arising) . https://doi.org/10.1038/s41586-023-05871-6مصطلحات موضوعية: FOS: Computer and information sciences, Multidisciplinary, Applications (stat.AP), Statistics - Applications
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المؤلفون: Mikkel Bennedsen, Asger Lunde, Mikko S Pakkanen
المصدر: Society for Financial Econometrics, The Journal of Financial Econometrics. 20(5):961-1006
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المؤلفون: Mikkel Bennedsen
المصدر: Commodities ISBN: 9781003265399
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::596e5a9b949282f5eb93172c0ee69612
https://doi.org/10.1201/9781003265399-10 -
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7دورية أكاديمية
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المؤلفون: Siem Jan Koopman, Mikkel Bennedsen, Eric Hillebrand
المصدر: Biogeosciences. 16:3651-3663
مصطلحات موضوعية: Multivariate statistics, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Data series, 010501 environmental sciences, Atmospheric sciences, 01 natural sciences, Sink (geography), Trend analysis, Environmental science, Ecology, Evolution, Behavior and Systematics, Statistical evidence, 0105 earth and related environmental sciences, Earth-Surface Processes
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المؤلفون: Siem Jan Koopman, Eric Hillebrand, Mikkel Bennedsen
المساهمون: Econometrics and Data Science, Tinbergen Institute
المصدر: Energy Economics, 96:105118, 1-17. Elsevier
Bennedsen, M, Hillebrand, E & Koopman, S J 2021, ' Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors ', Energy Economics, vol. 96, 105118 . https://doi.org/10.1016/j.eneco.2021.105118
Aarhus University
Bennedsen, M, Hillebrand, E & Koopman, S J 2021, ' Modeling, forecasting, and nowcasting U.S. CO 2 emissions using many macroeconomic predictors ', Energy Economics, vol. 96, 105118, pp. 1-17 . https://doi.org/10.1016/j.eneco.2021.105118مصطلحات موضوعية: Economics and Econometrics, Multivariate statistics, CO emissions, Nowcasting, Variable selection, 020209 energy, Industrial production, Feature selection, 02 engineering and technology, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Econometrics, Per capita, SDG 13 - Climate Action, 050207 economics, 05 social sciences, Univariate, Macroeconomic variables, General Energy, Dynamic factor, Environmental science, Dynamic factor model, Forecasting
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