E-Bayesian Estimation and Hierarchical Bayesian Estimation for Estate Probability in Engineering
نویسندگان
چکیده
منابع مشابه
Bayesian Estimation in Hierarchical Models
Bayesian data analysis involves describing data by meaningful mathematical models, and allocating credibility to parameter values that are consistent with the data and with prior knowledge. The Bayesian approach is ideally suited for constructing hierarchical models, which are useful for data structures with multiple levels, such as data from individuals who are members of groups which in turn ...
متن کاملBayesian Probability Estimation for Reasoning Process
............................................................................................................... iii ÖZ ............................................................................................................................... iv ACKNOWLEDGMENTS......................................................................v LIST OF TABLES ................................................
متن کاملHierarchical Bayesian estimation for MEG inverse problem.
Source current estimation from MEG measurement is an ill-posed problem that requires prior assumptions about brain activity and an efficient estimation algorithm. In this article, we propose a new hierarchical Bayesian method introducing a hierarchical prior that can effectively incorporate both structural and functional MRI data. In our method, the variance of the source current at each source...
متن کاملBayesian Estimation of Parameters in the Exponentiated Gumbel Distribution
Abstract: The Exponentiated Gumbel (EG) distribution has been proposed to capture some aspects of the data that the Gumbel distribution fails to specify. In this paper, we estimate the EG's parameters in the Bayesian framework. We consider a 2-level hierarchical structure for prior distribution. As the posterior distributions do not admit a closed form, we do an approximated inference by using ...
متن کاملBayesian change point estimation in Poisson-based control charts
Precise identification of the time when a process has changed enables process engineers to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for a Poisson process in a Bayesian framework. We apply Bayesian hierarchical models to formulate the change point where there exists a step < /div> change, a linear trend and a known multip...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Systems Engineering Procedia
سال: 2012
ISSN: 2211-3819
DOI: 10.1016/j.sepro.2012.04.055