background: we aimed to assess the high-risk group for suicide using different classification methods includinglogistic regression (lr), decision tree (dt), artificial neural network (ann), and support vector machine (svm). methods: we used the dataset of a study conducted to predict risk factors of completed suicide in hamadan province, the west of iran, in 2010. to evaluate the high-risk grou...

Prediction distribution is a basis for predictive inferences applied in many real world situations. The Bayesian approach under uniform prior employed this paper to derive the prediction Simultaneous Auto-regressive model with multivariate Student-t error distribution. Conditional on set of realized responses, single and future responses have univariate distributions respectively, whose degrees...

This paper tries to analyze effects of trade and financial liberalizations on the Iran’s government size during both long-run and short- run. Accordingly, a specification of the auto regression with distributed lag (ARDL) has been used for investigating the long run relationships between variables, and a vector correction model (VECM) has examined dynamically the short-run relationships betwe...

A central problem ill empirical macroeconomics is to determine when and how much the exchange rate is misaligned. This paper clarifies and calculates the concept of’ the equilibrium real exchange rate, using a structural vector auto regression (VAR) model. By imposing long—run restrictions on a VAR model for Iran, lour structural shocks are identified: nominal demand, real demand, supply and oi...

 In this paper, a version of the Vector Auto Regression (VAR) model has been used to investigate the interacted and dynamic effects between social capital and economic development in Iran during the period 1987-2006. To this purpose, variables of human capital, health and income distribution have been considered as the proxies of economic development. In addition, the volume of risky bank chequ...

The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...

We consider batch size selection for a general class of multivariate means variance estimators, which are computationally viable high-dimensional Markov chain Monte Carlo simulations. derive the asymptotic mean squared error this estimators. Further, we propose parametric technique estimating optimal sizes and discuss practical issues regarding process. Vector auto-regressive, Bayesian logistic...

This article investigates the relationship between the exchange rate and non-oil trade balance in Iran between 1981 and 2014. A structural vector auto-regression model is built. The results indicated that the increasing effect of the real effective exchange rate worsens the non-oil trade balance in the short term. In contrast, the increasing effect of the real effective exchange rate improves t...

klinkenberg permeability is an important parameter in tight gas reservoirs. there are conventional methods for determining it, but these methods depend on core permeability. cores are few in number, but well logs are usually accessible for all wells and provide continuous information. in this regard, regression methods have been used to achieve reliable relations between log readings and klinke...