With the use of a Bayesian model. Via O'Reilly
Can mobile phone data predict economic change?
This paper describes a structural break model to correctly detect the date of a mass layoff; a Bayesian classification model to identify affected individuals; and a method of applying features identified at the micro level to improve forecasts of macro unemployment rates—all using call detail records (CDRs) from mobile phones. ...
Saturday, July 25, 2015
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