مشخصات پژوهش

عنوان	Backward prediction for INAR processes
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	Backward prediction, Bayesian prediction, integer valued time series, thinning operator.
چکیده	The present work focuses on the estimation of the past missing data for counting time series. The procedure of reconstruction or in the other word, the backward prediction is performed by the forward representation of the process. The Bayesian methodology is also applied to obtain the point backward prediction as well as the classical.
پژوهشگران	مهرناز محمدپور (نفر دوم)، معصومه شیراوژن (نفر اول)