Merging of opinions in game-theoretic probability. / Vovk, Vladimir.

2007.

Research output: Working paper

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@techreport{28b0ab9547634fbea65ed56aa08fd633,
title = "Merging of opinions in game-theoretic probability",
abstract = "This paper gives game-theoretic versions of several results on {"}merging of opinions{"} obtained in measure-theoretic probability and algorithmic randomness theory. An advantage of the game-theoretic versions over the measure-theoretic results is that they are pointwise, their advantage over the algorithmic randomness results is that they are non-asymptotic, but the most important advantage over both is that they are very constructive, giving explicit and efficient strategies for players in a game of prediction.",
keywords = "math.PR",
author = "Vladimir Vovk",
note = "26 pages",
year = "2007",
month = may,
day = "2",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Merging of opinions in game-theoretic probability

AU - Vovk, Vladimir

N1 - 26 pages

PY - 2007/5/2

Y1 - 2007/5/2

N2 - This paper gives game-theoretic versions of several results on "merging of opinions" obtained in measure-theoretic probability and algorithmic randomness theory. An advantage of the game-theoretic versions over the measure-theoretic results is that they are pointwise, their advantage over the algorithmic randomness results is that they are non-asymptotic, but the most important advantage over both is that they are very constructive, giving explicit and efficient strategies for players in a game of prediction.

AB - This paper gives game-theoretic versions of several results on "merging of opinions" obtained in measure-theoretic probability and algorithmic randomness theory. An advantage of the game-theoretic versions over the measure-theoretic results is that they are pointwise, their advantage over the algorithmic randomness results is that they are non-asymptotic, but the most important advantage over both is that they are very constructive, giving explicit and efficient strategies for players in a game of prediction.

KW - math.PR

M3 - Working paper

BT - Merging of opinions in game-theoretic probability

ER -