@booklet {zamir-cjttdc2008,
	title = {Condorcet Jury Theorem: The Dependent Case},
	howpublished = {Discussion Papers},
	year = {2008},
	month = {3},
	abstract = {{We provide an extension of the Condorcet Theorem. Our model includes both the Nitzan-Paroush framework of unequal competencies  and Ladha s model of correlated voting by the jurors . We assume that the jurors behave informatively , that is, they do not make a strategic use of their information in voting. Formally, we consider a sequence of binary random variables X = (X1,X2, ...,Xn, ...) with range in 0,1 and a joint probability distribution P. The pair (X,P) is said to satisfy the Condorcet Jury Theorem (CJT) if limn{\textdagger}{\textquoteright}{\textasciicircum}\v zP({\textasciicircum}{\textquoteleft}Xi>n/2)=1. For a general (dependent) distribution P we provide necessary as well as sufficient conditions for the CJT. Let pi = E(Xi)},
	url = {/files/dp477.pdf},
	author = {Zamir, Bezalel Peleg and Shmuel}
}
