Results 41 to 50 of about 12,151,236 (300)

Reliability estimation of Weibull Lomax distribution via Bayesian approach [PDF]

open access: yesMemoirs of the Scientific Sections of the Romanian Academy, 2023
Weibull Lomax distribution is considered. Bayesian method of estimation is employed in order to estimate the reliability function of Weibull Pareto distribution by using non-informative and beta priors.
Arun Kumar Rao, Himashu Pandey
doaj  

A Bayesian Approach to Fault Identification in the Presence of Multi-component Degradation

open access: yesInternational Journal of Prognostics and Health Management, 2017
Fault diagnosis typically consists of fault detection, isolation and identification. Fault detection and isolation determine the presence of a fault in a system and the location of the fault.
Yufei Lin, Skaf Zakwan, Ian Jennions
doaj   +1 more source

A General Method for Robust Bayesian Modeling

open access: yes, 2018
Robust Bayesian models are appealing alternatives to standard models, providing protection from data that contains outliers or other departures from the model assumptions.
Chong Wang   +3 more
core   +1 more source

Bayesian Computational Methods [PDF]

open access: yes, 2011
In this chapter, we will first present the most standard computational challenges met in Bayesian Statistics, focussing primarily on mixture estimation and on model choice issues, and then relate these problems with computational solutions. Of course, this chapter is only a terse introduction to the problems and solutions related to Bayesian ...
openaire   +6 more sources

Bayesian Methods for Graph Clustering [PDF]

open access: yes, 2009
Networks are used in many scientific fields such as biology, social science, and information technology. They aim at modelling, with edges, the way objects of interest, represented by vertices, are related to each other. Looking for clusters of vertices, also called communities or modules, has appeared to be a powerful approach for capturing the ...
Latouche, Pierre   +2 more
openaire   +3 more sources

Bayesian Inference and Compressed Sensing [PDF]

open access: yes, 2017
This chapter provides the use of Bayesian inference in compressive sensing (CS), a method in signal processing. Among the recovery methods used in CS literature, the convex relaxation methods are reformulated again using the Bayesian framework and this ...
Tesfamicael, Solomon Abedom
core   +1 more source

Objective Bayesian Estimation for Tweedie Exponential Dispersion Process

open access: yesMathematics, 2021
An objective Bayesian method for the Tweedie Exponential Dispersion (TED) process model is proposed in this paper. The TED process is a generalized stochastic process, including some famous stochastic processes (e.g., Wiener, Gamma, and Inverse Gaussian ...
Weian Yan   +3 more
doaj   +1 more source

Bayesian Methods in the Field of Rehabilitation

open access: yesAmerican Journal of Physical Medicine & Rehabilitation, 2019
Abstract Bayesian techniques, as an alternative method of statistical analysis in rehabilitation studies, have some advantages such as handling small sample sizes, allowing incorporation of previous experience of the researchers or clinicians, being suitable for different kinds of studies, and managing highly complex models.
Quintela-del-Río, Alejandro   +5 more
openaire   +3 more sources

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

A Continuation Method in Bayesian Inference

open access: yesSIAM/ASA Journal on Uncertainty Quantification, 2023
We present a continuation method that entails generating a sequence of transition probability density functions from the prior to the posterior in the context of Bayesian inference for parameter estimation problems. The characterization of transition distributions, by tempering the likelihood function, results in a homogeneous nonlinear partial integro-
openaire   +2 more sources

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