UNLABELLED Comparison of the performance and accuracy of different inference methods, such as maximum likelihood (ML) and Bayesian inference, is difficult because the inference methods are implemented in different programs, often written by different authors. Both methods were implemented in the program MIGRATE, that estimates population genetic parameters, such as population sizes and migratio...

This is the beginning of a series discussing methodological approaches used in the social sciences. This article outlines the general problems and difficulties associated with a common method of statistical inference in psychology (my background) and other social science fields: null hypothesis significance testing (hereafter NHST). This introduction can serve as a starting point for researcher...

Background Often, there is no access to sufficient sample size to estimate the prevalence using the method of direct estimator in all areas. The aim of this study was to compare small area’s Bayesian method and direct method in estimating the prevalence of steatosis in obese and overweight children. Materials and Methods: In this cross-sectional study, was conducted on 150 overweight and obese ...

In this paper we discuss a Bayesian analysis of the scalar skew-normal model. This model defines a class of distributions that extends the Gaussian model by including a shape parameter. Although the skew-normal model has nice properties, it presents some problems with the estimation of the shape parameter. To avoid these drawbacks, we explore through some examples the use of Severini’s integrat...

Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. In this paper, we propose a dynamic stochastic block model for finding communities and their evolutions in a dynamic social network. The proposed model captures the evolution of communities by explicitly modeling the tra...

the aim of this study was using bayesian approach via gibbs sampling (gs) for estimating genetic parameters of production, reproduction and health traits in iranian holstein cows. data consisted of 320666 first- lactation records of holstein cows from 7696 sires and 260302 dams collected by the animal breeding center of iran from year 1991 to 2010. (co) variance components were estimated using ...

Abstract In this essay, we will try to provide a formal analysis of practical inference, attentive the various phases in which it is articulated, and being so capable explaining both logical conclusiveness inference probabilistic nature its conclusion. An innovative purpose article show how final deliberation leading action—the ultimate judgment—takes place according logic consistent with use B...