The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Optimal prediction pools
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Citations
Cites
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Strictly Proper Scoring Rules, Prediction, and Estimation
Gneiting, T., & Raftery, A. E. (2007) · Journal of the American Statistical Association · doi:10.1198/016214506000001437 · Cited by 5,793
Kenny, A. (2018) · Carl Strehlow’s 1909 Comparative Heritage Dictionary: An Aranda, German, Loritja and Dieri to English Dictionary with Introductory Essays · doi:10.22459/cschd.08.2018.04 · Cited by 3,216
Bates, J. M., & Granger, C. W. J. (1969) · Journal of the Operational Research Society · doi:10.1057/jors.1969.103 · Cited by 3,201
Christoffersen, P. F. (1998) · International Economic Review · doi:10.2307/2527341 · Cited by 2,669
Probabilistic Forecasts, Calibration and Sharpness
Gneiting, T., Balabdaoui, F., & Raftery, A. E. (2007) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2007.00587.x · Cited by 1,783
Evaluating Density Forecasts with Applications to Financial Risk Management
Diebold, F. X., Gunther, T. A., & Tay, A. S. (1998) · International Economic Review · doi:10.2307/2527342 · Cited by 1,452
Moré, J. J., & Sorensen, D. C. (1983) · SIAM Journal on Scientific and Statistical Computing · doi:10.1137/0904038 · Cited by 1,411
Bayesian Analysis of Stochastic Volatility Models
Jacquier, E., Polson, N. G., & Rossi, P. E. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102753410408 · Cited by 1,362
Cited by
Diebold, F. X. (2015) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2014.983236 · Cited by 496
Model Averaging and Its Use in Economics
Steel, M. F. J. (2020) · Journal of Economic Literature · doi:10.1257/jel.20191385 · Cited by 321
Forecast combinations: An over 50-year review
Wang, X., Hyndman, R. J., Li, F., & Kang, Y. (2023) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2022.11.005 · Cited by 280
Metadata
- Authors
- Geweke, J., & Amisano, G.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 164
- Issue
- 1
- Pages
- 130-141
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2113456190
- Cited by
- 366
- References
- 37
- FWCI
- 38.58
- Type
- journal article
- Language
- en
- Open access
- green
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Optimal prediction pools. https://app.cochat.ai/papers/10.1016/j.jeconom.2011.02.017
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- Geweke, J., & Amisano, G. (2011). Optimal prediction pools. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2011.02.017
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
