On universal algorithms for adaptive forecasting

DOI10.1134/S0032946011020074zbMath1234.62124OpenAlexW2136138548MaRDI QIDQ764391

Vladimir V. V'yugin

Publication date: 13 March 2012

Published in: Problems of Information Transmission (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0032946011020074

Mathematics Subject Classification ID

Cites Work

• Unnamed Item
• Calibration-based empirical probability
• Non-stochastic infinite and finite sequences
• The reproducible properties of correct forecasts
• Non-Bayesian Testing of a Stochastic Prediction
• On Sequences with Non-learnable Subsequences
• The Complexity of Forecast Testing
• Self-Calibrating Priors Do Not Exist
• The Well-Calibrated Bayesian
• Asymptotic calibration
• Any Inspection is Manipulable
• Learning Theory
• Prediction, Learning, and Games
• Calibration with Many Checking Rules

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