The United Nations Probabilistic Population Projections: An Introduction to Demographic Forecasting with Uncertainty
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Cited by:
- Yuri S. Popkov & Alexey Yu. Popkov & Yuri A. Dubnov & Dimitri Solomatine, 2020. "Entropy-Randomized Forecasting of Stochastic Dynamic Regression Models," Mathematics, MDPI, vol. 8(7), pages 1-20, July.
- Wheatcroft, Edward, 2019. "Interpreting the skill score form of forecast performance metrics," International Journal of Forecasting, Elsevier, vol. 35(2), pages 573-579.
- Angelica BĂCESCU-CĂRBUNARU, 2018. "Global Demographic Pressures and Management of Natural Resources – Foresights about the Future of Mankind," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 19(1), pages 40-53, March.
- Barry W. Brook & Jessie C. Buettel & Sanghyun Hong, 2021. "Constrained scenarios for twenty-first century human population size based on the empirical coupling to economic growth," Papers 2109.14209, arXiv.org.
- Niall Newsham & Francisco Rowe, 2021. "Projecting the demographic impact of Syrian migration in a rapidly ageing society, Germany," Journal of Geographical Systems, Springer, vol. 23(2), pages 231-261, April.
- Agnieszka Fihel & Anna Janicka & Marek Okólski, 2023. "Predicting a Migration Transition in Poland and its Implications for Population Ageing," Post-Print hal-04488199, HAL.
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