Results 21 to 30 of about 212,322 (298)

Modeling and Bayesian Analysis of Time between the Breakdown of Electric Feeders

open access: yesModelling and Simulation in Engineering, 2022
The failure of electric feeders is a common problem in the summer season in Pakistan. In this article, one of the troubling aspects of the electric power system of Pakistan (Multan city) has been studied. The time lapses between the breakdown of electric
Kahkashan Ateeq   +2 more
doaj   +1 more source

On the Consistency of Bayes Estimates

open access: yesThe Annals of Statistics, 1986
The authors of this special invited paper give the following summary: ''We discuss frequency properties of Bayes rules, paying special attention to consistency. Some new and fairly natural counterexamples are given, involving nonparametric estimates of location.
Diaconis, Persi, Freedman, David
openaire   +3 more sources

Interval Estimation Naïve Bayes [PDF]

open access: yes, 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
openaire   +2 more sources

Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]

open access: yes, 2001
Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas   +5 more
core   +1 more source

An improved Bayes empirical Bayes estimator [PDF]

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2003
Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0. We study the Bayesian estimation problem of θ under squared error loss function based on X, as well as some additional data available from other similar experiments according to an ...
R. J. Karunamuni, N. G. N. Prasad
openaire   +2 more sources

Bayesian Inference and Prediction for Normal Distribution Based on Records

open access: yesStatistica, 2018
Based on record data, the estimation and prediction problems for normal distribution have been investigated by several authors in the frequentist set up. However, these problems have not been discussed in the literature in the Bayesian context.
Akbar Asgharzadeh   +3 more
doaj   +1 more source

Empirical Bayes and Full Bayes for Signal Estimation

open access: yesCoRR, 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
openaire   +2 more sources

Estimating rate of occurrence of rare events with empirical Bayes : a railway application [PDF]

open access: yes, 2007
Classical approaches to estimating the rate of occurrence of events perform poorly when data are few. Maximum likelihood estimators result in overly optimistic point estimates of zero for situations where there have been no events.
Bedford, Tim   +2 more
core   +4 more sources

Utilizing Empirical Bayes Estimation to Assess Reliability in Inverted Exponentiated Rayleigh Distribution with Progressive Hybrid Censored Medical Data

open access: yesAxioms, 2023
This study addresses the issue of estimating the shape parameter of the inverted exponentiated Rayleigh distribution, along with the assessment of reliability and failure rate, by utilizing Type-I progressive hybrid censored data.
Atef F. Hashem   +2 more
doaj   +1 more source

Estimation of Dynamic Cumulative Past Entropy for Power Function Distribution

open access: yesStatistica, 2019
In this paper, we proposed MLE and Bayes estimators of parameters and DCPE for the two parameter power function distribution. Bayes estimators under different loss functions are obtained using Lindley approximation method and important sampling ...
Enchakudiyil Ibrahim Abdul-Sathar   +1 more
doaj   +1 more source

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