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1 Introduction Karni and Vierø (2013) provides an approach to modeling increasing awareness of a decision maker. The approach allows for the decision maker's state space to expand as she becomes aware of new possible actions and consequences. They named their approach to modeling increasing awareness “reverse Bayesianism,” motivated by a consistency property of the decision maker's beliefs over the state spaces before and after the expansion of her awareness. Under reverse Bayesianism the likelihood ratios between originally non-null states remain unchanged upon

The B.E. Journal of Theoretical Economics Advances Volume 10, Issue 1 2010 Article 3 Non-Bayesian Learning Larry G. Epstein∗ Jawwad Noor† Alvaro Sandroni‡ ∗Boston University, lepstein@bu.edu †Boston University, jnoor@bu.edu ‡University of Pennsylvania, sandroni@kellogg.northwestern.edu Recommended Citation Larry G. Epstein, Jawwad Noor, and Alvaro Sandroni (2010) “Non-Bayesian Learning,” The B.E. Journal of Theoretical Economics: Vol. 10: Iss. 1 (Advances), Article 3. Non-Bayesian Learning∗ Larry G. Epstein, Jawwad Noor, and Alvaro Sandroni Abstract A series of

Volume 10, Issue 1 2011 Article 22 Statistical Applications in Genetics and Molecular Biology Disequilibrium Coefficient: A Bayesian Perspective Helena Brentani, University of São Paulo Eduardo Y. Nakano, University of Brasilia Camila B. Martins, University of São Paulo Rafael Izbicki, University of São Paulo Carlos Alberto Pereira, University of São Paulo Recommended Citation: Brentani, Helena; Nakano, Eduardo Y.; Martins, Camila B.; Izbicki, Rafael; and Pereira, Carlos Alberto (2011) "Disequilibrium Coefficient: A Bayesian Perspective," Statistical Applications