51吃瓜网

via Zoom

This presentation introduces integer-valued transfer function models incorporating a generalized Poisson, log-linear generalized Poisson or negative binomial to estimate and detect four types of interventions in a time series of counts. The model utilizes Bayesian methods, which are adaptive Markov chain Monte Carlo (MCMC) algorithms to obtain the estimation, and employ deviance information criterion (DIC), posterior odd ratios and mean squared standardized residual for model comparisons. As an illustration, this study evaluates the effectiveness of the methods through a simulation study and application to crime data in Albury City, New South Wales (NSW) Australia.

Free

Dr. Ephrime B. Metillo, CSM Dean (ephrime.metillo@g.msuiit.edu.ph)

Dr. Randy Caga-anan, Chairperson, DMS (randy.caga-anan@g.msuiit.edu.ph

Visit us at www.msuiit.edu.ph for details.