An extension of play against the random past strategy. Choosing the right experts on IBM forecasts

DOI10.1080/00949655.2013.823963zbMath1457.91012OpenAlexW2137492565MaRDI QIDQ5219522

Mingfei Li

Publication date: 12 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.823963

zbMATH Keywords

game theoryexpert selectionsequential predictionBayes envelope riskplay against the random past

Mathematics Subject Classification ID

2-person games (91A05) Multistage and repeated games (91A20)

Cites Work

• An analog of the minimax theorem for vector payoffs
• Votes and a half-binomial
• The weighted majority algorithm
• Predicting \(\{ 0,1\}\)-functions on randomly drawn points
• A Randomization Rule for Selecting Forecasts
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: An extension of play against the random past strategy. Choosing the right experts on IBM forecasts