Advances in Decision Analysis: Aggregating Probability Distributions
By R. Clemen, Robert L. Winkler. 2007
87 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/01847673012efac2a2aaa26a31395574e1a43fad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tilmann Gneiting
- Philippe Renard
- Alessandro Comunian
- Denis Allard
- Ozlem Uzuner
- Christopher Kotfila
- Roopesh Ranjan
- Xavier Emery
In Management Science and Operations Research
- Roopesh Ranjan
- Tilmann Gneiting
- Ozlem Uzuner
- Christopher Kotfila
- Philippe Renard
- James W. Taylor
- Thordis Linda Thorarinsdottir
- Johannes Resin
Citations in the corpus
- Combining Predictive Distributions (2011, methodology): “While other methods for combining predictive distributions are available (Genest and Zidek 1986; Clemen and Winkler 1999; 2007), the linear pool is typically the method of choice, with the pioneering work of Winkler (1968) and Zarnowitz (1969), and recent papers by Mitchell and Hall (2005), Wallis…”
- Probability Aggregation Methods in Geoscience (2012, background): “The next subsections, following and extending the work of Genest and Zidek (1986), Clemen and Winkler (1999), and Clemen and Winkler (2007), provide a summary of some of the most important aggregation methods in earth sciences.”
- Combining probability forecasts (2010, background): “Genest and Zidek (1986), Wallsten et al. (1997), Clemen and Winkler (2007) and Primo et al. (2009) provide excellent reviews.”
- A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases (2015, methodology): “An alternate approach would be collapsing highly co-linear features using dimensionality reduction techniques or pooling (Clemen & Winkler, 2007) using an aggregation function.”