Modeling Dengue Cases Using Poisson INAR

modeling occurrence of dengue cases in malaysia

no abstract

Poisson-Lindley INAR(1) Processes: Some Estimation and Forecasting Methods

This paper focuses on different methods of estimation and forecasting in first-order integer-valued autoregressive processes with Poisson-Lindley (PLINAR(1)) marginal distribution. For this purpose, the parameters of the model are estimated using Whittle, maximum empirical likelihood and sieve bootstrap methods. Moreover, Bayesian and sieve bootstrap forecasting methods are proposed and predict...

Poisson limit of an inhomogeneous nearly critical INAR ( 1 ) model ∗

An inhomogeneous first–order integer–valued autoregressive (INAR(1)) process is investigated, where the autoregressive type coefficient slowly converges to one. It is shown that the process converges weakly to a Poisson or a compound Poisson distribution.

Modeling Occurrence of Dengue Cases in Malaysia

Dengue fever (DF) is the single most important vector-borne viral disease in tropical and subtropical areas worldwide. Globally, estimated 390 million dengue virus infection cases and 100 million incidences of DF occur each year (1). According to the WHO (2), southeast and western Pacific areas carry approximately 75% of global DF infections. This is a serious issue because the severity resulti...

Post dengue hair loss: low prevalence in Thai cases