The implementation of random survival forests in conflict management data: An examination of power sharing and third party mediation in post-conflict countries
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0250963
Download full text from publisher
References listed on IDEAS
- Jacob M. Montgomery & Santiago Olivella, 2018. "Tree‐Based Models for Political Science Data," American Journal of Political Science, John Wiley & Sons, vol. 62(3), pages 729-744, July.
- Cranmer, Skyler J. & Desmarais, Bruce A., 2017. "What Can We Learn from Predictive Modeling?," Political Analysis, Cambridge University Press, vol. 25(2), pages 145-166, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
- Waggoner Philip D. & Kennedy Ryan & Le Hayden & Shiran Myriam, 2019. "Big Data and Trust in Public Policy Automation," Statistics, Politics and Policy, De Gruyter, vol. 10(2), pages 115-136, December.
- Robert A. Blair & Nicholas Sambanis, 2020. "Forecasting Civil Wars: Theory and Structure in an Age of “Big Data†and Machine Learning," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(10), pages 1885-1915, November.
- Tobias Heinrich & Yoshiharu Kobayashi, 2022. "Evaluating explanations for poverty selectivity in foreign aid," Kyklos, Wiley Blackwell, vol. 75(1), pages 30-47, February.
- Gallego, Jorge & Rivero, Gonzalo & Martínez, Juan, 2021.
"Preventing rather than punishing: An early warning model of malfeasance in public procurement,"
International Journal of Forecasting, Elsevier, vol. 37(1), pages 360-377.
- Gallego, J & Rivero, G & Martínez, J.D., 2018. "Preventing rather than Punishing: An Early Warning Model of Malfeasance in Public Procurement," Documentos de Trabajo 16724, Universidad del Rosario.
- Pamp, Oliver & Lebacher, Michael & Thurner, Paul W. & Ziegler, Eva, 2021. "Explaining destinations and volumes of international arms transfers: A novel network Heckman selection model," European Journal of Political Economy, Elsevier, vol. 69(C).
- Zhaochen He & John Camobreco & Keith Perkins, 2022. "How he won: Using machine learning to understand Trump’s 2016 victory," Journal of Computational Social Science, Springer, vol. 5(1), pages 905-947, May.
- Simon Montfort, 2023. "Key predictors for climate policy support and political mobilization: The role of beliefs and preferences," Papers 2306.10144, arXiv.org.
- Dyevre, Arthur & Lampach, Nicolas, 2018. "The origins of regional integration: Untangling the effect of trade on judicial cooperation," International Review of Law and Economics, Elsevier, vol. 56(C), pages 122-133.
- Racek, Daniel & Thurner, Paul W. & Davidson, Brittany I. & Zhu, Xiao Xiang & Kauermann, Göran, 2024. "Conflict forecasting using remote sensing data: An application to the Syrian civil war," International Journal of Forecasting, Elsevier, vol. 40(1), pages 373-391.
- Vestby, Jonas & Buhaug, Halvard & von Uexkull, Nina, 2021. "Why do some poor countries see armed conflict while others do not? A dual sector approach," World Development, Elsevier, vol. 138(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0250963. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.