Average Method of Mixed Sampling Distribution Bayesian Model

Bayesian Analysis of the Autoregressive-Moving Average Model with Exogenous Inputs Using Gibbs Sampling

Abstract: The problem of estimating a set of parameters in the autoregressive moving average model with exogenous inputs (ARMAX) is considered and a numerical Bayesian method proposed. This paper, develops a Bayesian analysis for the ARMAX model by implementing a fast, easy and accurate Gibbs sampling algorithm. The procedure is easy to implement and can be computed also when some priors in the...

Markov Logarithmic Series Distribution and Estimation of its Parameters by Method of E-Bayesian

In the analysis of Bernoulli's variables, an investigation of the their dependence is of the prime importance. In this paper, the distribution of the Markov logarithmic series is introduced by the execution of the first-order dependence among Bernoulli variables. In order to estimate the parameters of this distribution, maximum likelihood, moment, Bayesian and also a new method which called the...

bayesian and non-bayesian estimation of stress–strength model for pareto type i distribution

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

The Prediction Model for Bankruptcy Risk by Bayesian Method

The importance of predicting bankruptcy risk of firms is increasing because of later financial crisis. Despite practical researchers trying to present models for predicting this risk, it seems that an optimum and acceptable model that is reliable for financial statement users and auditors in order to increase their ability in decision making and professional judgment has not been presented yet....

Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method