People often see the same evidence but draw opposite conclusions, becoming increasingly polarized over time. Prior discussions of this puzzle have focused on the failure of Bayesian reasoning or on the possibility of non-common priors. By contrast, we offer a model of diverging opinions in a Bayesian environment with common priors. In our model, people hold different private information and dis...

We study the global convergence of the stochastic gradient constant modulus algorithm (CMA) in the absence of channel noise as well as in the presence of channel noise. The case of fractionally spaced equalizer and/or multiple antenna at the receiver is considered. For the noiseless case, we show that with proper initialization, and with small step size, the algorithm converges to a zero-forcin...

this study seeks to examine how a company can select the best intermediary for its marketing channels with minimum of criteria and time. a theoretical framework is proposed based on the most important tasks of intermediary and the criteria to measure them. there are four basic tasks and thirty criteria in three independent levels. subsequently, an exploratory case study in iranian food industry...