The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Probabilistic Networks and Expert Systems
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Citations
Cites
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2 · cited 1×
“Examples of such so-called proper scoring rules include the quadratic Brier score (Brier 1950), and the logarithmic score (Good 1952).”
Background
Cited by
Bayesian Measures of Model Complexity and Fit
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iSAM2: Incremental smoothing and mapping using the Bayes tree
Kaess, M., Johannsson, H., Roberts, R., Ila, V., Leonard, J. J., & Dellaert, F. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364911430419 · Cited by 1,362
Mendelian randomization as an instrumental variable approach to causal inference
Didelez, V., & Sheehan, N. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206077743 · Cited by 923
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing
Dellaert, F., & Kaess, M. (2006) · The International Journal of Robotics Research · doi:10.1177/0278364906072768 · Cited by 922
Machine learning in bioinformatics
Larrañaga, P., Calvo, B., Santana, R., Bielza, C., Galdiano, J., Inza, I., Lozano, J. A., Armañanzas, R., Santafé, G., Pérez, A., et al. (2006) · Briefings in Bioinformatics · doi:10.1093/bib/bbk007 · Cited by 867
An experimental design for the development of adaptive treatment strategies
Murphy, S. A. (2005) · Statistics in Medicine · doi:10.1002/sim.2022 · Cited by 746
A tutorial on conformal prediction
Shafer, G., & Vovk, V. (2007) · arXiv · doi:10.48550/arxiv.0706.3188 · Cited by 655
(2005) · Edinburgh Research Explorer (University of Edinburgh) · doi:10.5555/1046920.1088695 · Cited by 650
A Conceptual Framework for Adaptive Preventive Interventions
Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science · doi:10.1023/b:prev.0000037641.26017.00 · Cited by 608
Bayesian Methods for Hidden Markov Models: Recursive Computing in the 21st Century
Scott, S. L. (2002) · Journal of the American Statistical Association · doi:10.1198/016214502753479464 · Cited by 517
A differential approach to inference in Bayesian networks
Darwiche, A. (2003) · Journal of the ACM · doi:10.1145/765568.765570 · Cited by 470
Beal, M. J., & Ghahramani, Z. (2003) · Bayesian Statistics 7 · doi:10.1093/oso/9780198526155.003.0025 · Cited by 458
Classification in Networked Data: A Toolkit and a Univariate Case Study
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Undirected graphs of frequency-dependent functional connectivity in whole brain networks
Salvador, R., Suckling, J., Schwarzbauer, C., & Bullmore, E. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1645 · Cited by 437
Distributed regression: an efficient framework for modeling sensor network data
Guestrin, C., Bodik, P., Thibaux, R., Paskin, M., & Madden, S. (2004) · Proceedings of the 3rd international symposium on Information processing in sensor networks · doi:10.1145/984622.984624 · Cited by 429
BLOG: Probabilistic Models with Unknown Objects
Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D. L., & Kolobov, A. (2007) · Introduction to Statistical Relational Learning · doi:10.7551/mitpress/7432.003.0015 · Cited by 390
Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia
Sebastiani, P., Ramoni, M. F., Nolan, V., Baldwin, C. T., & Steinberg, M. H. (2005) · Nature Genetics · doi:10.1038/ng1533 · Cited by 334
Influence Diagrams for Causal Modelling and Inference
Dawid, A. P. (2002) · International Statistical Review · doi:10.1111/j.1751-5823.2002.tb00354.x · Cited by 230
Self-citationAssumptions of IV Methods for Observational Epidemiology.
Didelez, V., Meng, S., & Sheehan, N. A. (2010) · Statistical Science · doi:10.1214/09-sts316 · Cited by 214
BILMES, J. A. (2006) · IEICE Transactions on Information and Systems · doi:10.1093/ietisy/e89-d.3.869 · Cited by 172
Statistics and causal inference: A review
Pearl, J. (2003) · Test · doi:10.1007/bf02595718 · Cited by 144
Detection of surface defects on raw steel blocks using Bayesian network classifiers
Pernkopf, F. (2004) · Pattern Analysis and Applications · doi:10.1007/s10044-004-0232-3 · Cited by 113
Genome-wide association studies and the genetic dissection of complex traits
Sebastiani, P., Timofeev, N., Dworkis, D. A., Perls, T. T., & Steinberg, M. H. (2009) · American Journal of Hematology · doi:10.1002/ajh.21440 · Cited by 67
Metadata
- Venue
- Information Science and Statistics
- Publisher
- Springer-Verlag
- Published
- 1999
- OpenAlex
- W1513861746
- Cited by
- 1,727
- References
- 1
- FWCI
- 20.75
- Type
- book
- Language
- en
- Open access
- closed
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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.
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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.
