Good randomized sequential probability forecasting is always possible
By Vladimir G Vovk, Glenn Shafer. 2005
60 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/fa2c0d19a969ba6b9dac2c6844c117c55996e2fb
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
- Gábor Lugosi
- Nicolò Cesa-Bianchi
- Alvaro Sandroni
- Wojciech Olszewski
- Tilmann Gneiting
- Adrian E. Raftery
- Fadoua Balabdaoui
- R´emi Munos
In Computational Theory and Mathematics
Citations in the corpus
- Testing Multiple Forecasters (2008, unknown): “This negative result has been extensively generalized to many other classes of tests by Kalai, Lehrer, and Smorodinsky (1999); Fudenberg and Levine (1999); Lehrer (2001); Sandroni, Smorodinsky, and Vohra (2003); Sandroni (2003); and Vovk and Shafer (2005).”
- Probabilistic forecasts, calibration and sharpness (2007, background): “The progress is impressive and culminates in the elegant game theoretic approach of Vovk and Shafer (2005) .”
- Manipulability of Future‐Independent Tests (2008, background): “…being rejected by some empirical tests is not novel and can be found in a number of papers (see Foster and Vohra (1998), Fudenberg and Levine (1999), Lehrer (2001), Sandroni (2003), Sandroni, Smorodinsky and Vohra (2003), Vovk and Shafer (2005), and Olszewski and Sandroni (2007b) and (2007c)).”
- Prediction, learning, and games (2006, background): “5 has been strengthened by Lehrer [194], Sandroni, Smorodinsky, and Vohra [259], and Vovk and Shafer [301].”