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Bayesian aggregation of two forecasts in the partial information framework

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Publication:334027
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DOI10.1016/j.spl.2016.07.018zbMath1348.62017arXiv1608.04717OpenAlexW2478953266MaRDI QIDQ334027

Robin Pemantle, Philip A. Ernst, Lyle H. Ungar, Ville A. Satopää

Publication date: 31 October 2016

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1608.04717


zbMATH Keywords

Gaussian processexpertjudgmental forecastingprobability forecast


Mathematics Subject Classification ID

Gaussian processes (60G15) Bayesian problems; characterization of Bayes procedures (62C10)


Related Items

Regularized Aggregation of One-Off Probability Predictions ⋮ Bounds on the probability of radically different opinions ⋮ Learning Optimal Forecast Aggregation in Partial Evidence Environments



Cites Work

  • Unnamed Item
  • Interpreted and generated signals
  • Partial information framework: model-based aggregation of estimates from diverse information sources
  • The Bivariate Normal Copula
  • The Well-Calibrated Bayesian
  • A REDUCTION FORMULA FOR NORMAL MULTIVARIATE INTEGRALS
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