نتایج جستجو برای: bayesian mixing model

تعداد نتایج: 2196729  

ژورنال: اندیشه آماری 2014
Alamat saz, Mohamad hossein, lotfi, mahya,

Beliefs are the result of uncertainty. Sometimes uncertainty is because of a random process and sometimes the result of lack of information. In the past, the only solution in situations of uncertainty has been the probability theory. But the past few decades, various theories of other variables and systems are put forward for the systems with no adequate and accurate information. One of these a...

Journal: Poultry Science Journal 2015
Alijani S Latifi M Salehinasab M Zerehdaran S

The objective of the present study was to estimate heritability values for some performance and egg quality traits of native fowl in Isfahan breeding center using REML and Bayesian approaches. The records were about 51521 and 975 for performance and egg quality traits, respectively. At the first step, variance components were estimated for body weight at hatch (BW0), body weight at 8 weeks of a...

2010
Marc L. Fischer Chuanfeng Zhao William J. Riley Arlyn C. Andrews Linda Spiegel Kenneth Koyama

..................................................................................................................................................... xi Executive Summary ................................................................................................................................... 1 1.0 Introduction .............................................................................

Journal: :Physical review. D, Particles and fields 1995
Gates Krauss White

We describe how to consistently incorporate solar model uncertainties, along with experimental errors and correlations, when analyzing solar neutrino data to derive confidence limits on parameter space for proposed solutions of the solar neutrino problem. Our work resolves ambiguities and inconsistencies in the previous literature. As an application of our methods we calculate the masses and mi...

2004
Alexander Ilin Antti Honkela

Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mixing followed by component-wise scalar nonlinearities. Most previous PNL ICA algorithms require the post-nonlinearities to be invertible functions. In this paper, we present a variational Bayesian approach to PNL ICA ...

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

Journal: :Cognitive science 2015
Samuel G. B. Johnson Woo-kyoung Ahn

Knowledge of mechanisms is critical for causal reasoning. We contrasted two possible organizations of causal knowledge—an interconnected causal network, where events are causally connected without any boundaries delineating discrete mechanisms; or a set of disparate mechanisms—causal islands—such that events in different mechanisms are not thought to be related even when they belong to the same...

2006
Marco Cirelli

We investigate quantitatively the extent to which having a primordial leptonic asymmetry (nν 6= nν̄) relaxes the bounds on light sterile neutrinos imposed by BBN and LSS. We adopt a few assumptions that allow us to solve the neutrino evolution equations over a broad range of mixing parameters and asymmetries. For the general cases of sterile mixing with the electron or muon neutrino, we identify...

Consider a Bayesian optimal design with many support points which poses the problem of collecting data with a few number of observations at each design point. Under such a scenario the asymptotic property of using Fisher information matrix for approximating the covariance matrix of posterior ML estimators might be doubtful. We suggest to use Bhattcharyya matrix in deriving the information matri...

2011
Mason A. Porter

From the Mathematics Genealogy Project, a database of maths-related PhD theses, I extract the movements of academics between universities on an international scale. I show that the extracted movements are incompatible with several features of a random graph based on the configuration model. Using Bayesian hypothesis testing, I find evidence that an academic is more likely to move after their Ph...

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