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Interval Estimation Naïve Bayes [PDF]
, 2003 Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of conditional independence among features given the class.
Robles Forcada, Víctor +4 more
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Bayesian Shrinkage Estimation in a Class of Life Testing Distribution
Data Science Journal, 2010 In the present paper, a class of probability density functions is considered, and the properties of the Bayes estimator and the Bayes Shrinkage estimator of the parameters are studied.
Gyan Prakash, D C Singh
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A simulation study of the Bayes estimator for parameters in Weibull distribution
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2019 The Weibull distribution is one of the most popular distributions in analyzing the lifetime data . In this study, we consider the Bayes estimators of the scale and shape parameters of Weibull distribution under the assumptions of gamma priors and ...
Esin Köksal Babacan, S. Kaya
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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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Journal of Mathematics, 2022 This study investigates the inference of the reliability parameter R ...
Salman Babayi +2 more
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Estimation of the Rayleigh Distribution under Unified Hybrid Censoring
Austrian Journal of Statistics, 2021 We derive some estimators of the scale parameter of the Rayleigh distribution under the unified hybrid censoring scheme. We also derive some estimators of the reliability function and the entropy of the Rayleigh distribution. First, we obtain the maximum
Young Eun Jeon, Suk-Bok Kang
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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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PROPOSED SHRINKAGE FUNCTION FOR A SINGLE OBSERVATION IN N(Θ,1) PROBLEM [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 In this search, Shrinkage Function has been suggested for a Single Observation in N(θ,1) problem. We proved that there is a relationship between Shrinkage Estimator and Normal Bayes Estimator. properties of Proposed Estimator, optimal case, properties of
AMER FADHEL NASSAR
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Nonparametric Bayes-risk estimation [PDF]
IEEE Transactions on Information Theory, 1971 Two nonparametric methods to estimate the Bayes risk using classified sample sets are described and compared. The first method uses the nearest neighbor error rate as an estimate to bound the Bayes risk. The second method estimates the Bayes decision regions by applying Parzen probability-density function estimates and counts errors made using these ...
Stanley C. Fralick, Richard W. Scott
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Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical Bayes models [PDF]
, 2011 Empirical Bayes provides one approach to estimating the frequency of rare events as a weighted average of the frequencies of an event and a pool of events. The pool will draw upon, for example, events with similar precursors.
Lesley Walls +7 more
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