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Empirical Bayes and Full Bayes for Signal Estimation
CoRR, 2014 We consider signals that follow a parametric distribution where the parameter values are unknown. To estimate such signals from noisy measurements in scalar channels, we study the empirical performance of an empirical Bayes (EB) approach and a full Bayes (FB) approach.
Yanting Ma +3 more
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On a design consistency property of hierarchical Bayes estimators in finite population samplings. [PDF]
, 2007 We obtain a limit of a hierarchical Bayes estimator of a finite population mean when the sample size is large. The limit is in the sense of ordinary calculus, where the sample observations are treated as fixed quantities. Our result suggests a simple way
Lahiri, P, Mukherjee, Kanchan
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Estimating Bayes factors via thermodynamic integration and population MCMC [PDF]
, 2009 A Bayesian approach to model comparison based on the integrated or marginal likelihood is considered, and applications to linear regression models and nonlinear ordinary differential equation (ODE) models are used as the setting in which to elucidate and
Calderhead, B., Girolami, M.
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Bayes and Non-Bayes Estimation of Change Point in Nonstandard Mixture Inverse Weibull Distribution
Journal of Statistical Theory and Applications (JSTA), 2019 We consider a sequence of independent random variables X1,X2,…,Xm,…,Xnn≥3 exhibiting a change in the probability distribution of the data generating mechanism.
Masoud Ganji, Roghayeh Mostafayi
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An Empirical Bayes Reliability Estimator [PDF]
The Egyptian Statistical Journal, 1980 The reliability function, using exponential life model, is estimated using empirical 'ayes technique. The prior dis-,:ribution which is not assumed known in the empirical Bayes 4pproach, is approximated by Maritz form [3]. The loss func-:ion suggested by
M.R. Abdallah, E.K. El-Hussaini
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E-Jurnal Matematika, 2013 Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates.
PUTU EKA ARIWIJAYANTHI +2 more
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The systematic risk estimation models: A different perspective
Heliyon, 2020 In practice, the capital asset pricing model (CAPM) using the parametric estimator is almost certainly being used to estimate a firm's systematic risk (beta) and cost of equity as in Eq. (1).
Le Tan Phuoc, Chinh Duc Pham
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Reliability Estimation of Weibull -Exponential Distribution via Bayesian Approach
Ratio Mathematica, 2021 Bayesian estimation is employed in order to estimate the reliability function of Weibull-Exponential distribution by using different priors. The Bayes estimators of the reliability function have been obtained under square error, precautionary and entropy
Himanshu Pandey, Arun Kumar Rao
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Evaluation of elicitation methods to quantify Bayes linear models [PDF]
, 2010 The Bayes linear methodology allows decision makers to express their subjective beliefs and adjust these beliefs as observations are made. It is similar in spirit to probabilistic Bayesian approaches, but differs as it uses expectation as its primitive ...
T Bedford +5 more
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Some results on Bayes estimation under Linex loss function [PDF]
Journal of HyperstructuresIn this paper, we introduced straightforward formulas for the Bayes risk linked to the Linex loss function, which we then applied to estimate parameters of the normal, Poisson, and fractional Weibull distributions.We aimed to investigate the development ...
Masoud Ganji, Fatemeh Gharari
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