AIM To study the application of artificial neural network (ANN) in forecasting the incidence of hepatitis A, which had an autoregression phenomenon. METHODS The data of the incidence of hepatitis A in Liaoning Province from 1981 to 2001 were obtained from Liaoning Disease Control and Prevention Center. We used the autoregressive integrated moving average (ARIMA) model of time series analysis ...

We study statistical properties of a class of non-linear models for regression analysis of count time series. Under mild conditions, it is shown that a perturbed version of the model is geometrically ergodic and possesses moments of any order. This result turns out to be instrumental on deriving large sample properties of the maximum likelihood estimators of the regression parameters. The theor...

In this paper, the structural vector autoregression methodology is used to decompose the euro area nominal short-term interest rate into an expected inflation and an ex-ante real interest rate component. The latter may be a useful indicator of the monetary policy stance of the ECB. To this end, a vector autoregression model comprised of the differenced interest rate series and the stationary co...

In this paper, we propose several techniques for data reduction and spatialtemporal prediction in precision agriculture databases. The proposed methods are based on various statistical and machine learning techniques including sensitivity based analysis, spatial-temporal autoregression, multiple time series and response modeling with spatially-correlated residuals. The considered techniques are...