Good randomized sequential probability forecasting is always possible
Building on the game theoretic framework for probability, we show that it is possible, using randomization, to make sequential probability forecasts that will pass any given battery of statistical tests. This result, an easy consequence of von Neumann's minimax theorem, simplifies and generalizes work by earlier researchers. Copyright 2005 Royal Statistical Society.
Year of publication: |
2005
|
---|---|
Authors: | Vovk, Vladimir ; Shafer, Glenn |
Published in: |
Journal of the Royal Statistical Society Series B. - Royal Statistical Society - RSS, ISSN 1369-7412. - Vol. 67.2005, 5, p. 747-763
|
Publisher: |
Royal Statistical Society - RSS |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Probability and finance : it's only a game!
Shafer, Glenn, (2001)
-
Probability-free pricing of adjusted American lookbacks
Dawid, A. Philip, (2011)
-
The generality of the zero-one laws
Takemura, Akimichi, (2011)
- More ...