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‘All models are wrong...’: an introduction to model uncertainty

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  • Ernst Wit
  • Edwin van den Heuvel
  • Jan-Willem Romeijn

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  • Ernst Wit & Edwin van den Heuvel & Jan-Willem Romeijn, 2012. "‘All models are wrong...’: an introduction to model uncertainty," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(3), pages 217-236, August.
  • Handle: RePEc:bla:stanee:v:66:y:2012:i:3:p:217-236
    DOI: j.1467-9574.2012.00530.x
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    File URL: http://hdl.handle.net/10.1111/j.1467-9574.2012.00530.x
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    Citations

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    Cited by:

    1. Wit, Ernst C., 2018. "Big data and biostatistics: The death of the asymptotic Valhalla," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 30-33.
    2. Wenchen Liu & Yincai Tang & Ancha Xu, 2021. "Zero-and-one-inflated Poisson regression model," Statistical Papers, Springer, vol. 62(2), pages 915-934, April.
    3. Ge Song & Jiahui Yuan & Charlie Cheng-Jie Ji, 2021. "Application of Gibbs Sampling in Modelling the Utilization Rate of Raw Materials for Drug Coating," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(2), pages 1-28, March.
    4. Jan Dvorsky & Martin Cepel & Gabriela Sopkova & Anna Kotaskova, 2017. "The Quality Of Macro-Environment And Business Environment And University Student Entrepreneurship - Comparison Of The Czech And The Slovak Republic," International Journal of Entrepreneurial Knowledge, Center for International Scientific Research of VSO and VSPP, vol. 5(2), pages 89-100, December.
    5. David Schuff & Karen Corral & Robert D. St. Louis & Greg Schymik, 0. "Enabling self-service BI: A methodology and a case study for a model management warehouse," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    6. Dirke Imig & Nadine Pollak & Frank Allgöwer & Markus Rehm, 2020. "Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-17, June.
    7. Francisco Richter & Bart Haegeman & Rampal S. Etienne & Ernst C. Wit, 2020. "Introducing a general class of species diversification models for phylogenetic trees," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 261-274, August.
    8. Vinciotti Veronica & Augugliaro Luigi & Abbruzzo Antonino & Wit Ernst C., 2016. "Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(3), pages 193-212, June.
    9. Karel Slintak & Jan Dvorsky, 2019. "The Purpose of Firms and its Influence on Formulating Their Missions and Visions," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(2), pages 15-29.
    10. O’Brien, Travis A. & Kashinath, Karthik & Cavanaugh, Nicholas R. & Collins, William D. & O’Brien, John P., 2016. "A fast and objective multidimensional kernel density estimation method: fastKDE," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 148-160.
    11. Jan Michael Spoor, 2023. "Improving customer segmentation via classification of key accounts as outliers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 747-760, December.
    12. Huijian Dong & Xiaomin Guo & Han Reichgelt & Ruizhi Hu, 2020. "Predictive power of ARIMA models in forecasting equity returns: a sliding window method," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 549-566, October.
    13. Mathias Drton & Martyn Plummer, 2017. "A Bayesian information criterion for singular models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(2), pages 323-380, March.
    14. David Schuff & Karen Corral & Robert D. St. Louis & Greg Schymik, 2018. "Enabling self-service BI: A methodology and a case study for a model management warehouse," Information Systems Frontiers, Springer, vol. 20(2), pages 275-288, April.
    15. Välilä, Timo, 2020. "Infrastructure and growth: A survey of macro-econometric research," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 39-49.
    16. Seonghun Lee & Jaehwa Park, 2022. "A Vector Representation of Lactation Curves for Dairy Cows," Agriculture, MDPI, vol. 12(3), pages 1-13, March.
    17. Muhammad Ali Musarat & Wesam Salah Alaloul & Muhammad Babar Ali Rabbani & Mujahid Ali & Muhammad Altaf & Roman Fediuk & Nikolai Vatin & Sergey Klyuev & Hamna Bukhari & Alishba Sadiq & Waqas Rafiq & Wa, 2021. "Kabul River Flow Prediction Using Automated ARIMA Forecasting: A Machine Learning Approach," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    18. Marina Johnson & Abdullah Albizri & Serhat Simsek, 2022. "Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis," Annals of Operations Research, Springer, vol. 308(1), pages 275-305, January.
    19. Homa Razmkhah & Alireza Fararouie & Amin Rostami Ravari, 2022. "Multivariate Flood Frequency Analysis Using Bivariate Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 729-743, January.

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