Results 31 to 40 of about 125,648 (258)
Bayesian Estimation of a New Pareto-Type Distribution Based on Mixed Gibbs Sampling Algorithm
Mathematics, 2023 In this paper, based on the mixed Gibbs sampling algorithm, a Bayesian estimation procedure is proposed for a new Pareto-type distribution in the case of complete and type II censored samples.
Fanqun Li, Shanran Wei, Mingtao Zhao
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Bayesian Estimation of Differential Privacy
CoRR, 2022 17 pages, 8 figures.
Santiago Zanella-Béguelin +8 more
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AxiomsThis study investigates the statistical inference of the parameters, reliability function, and hazard function of the generalized Rayleigh distribution under progressive first-failure censoring samples, considering factors such as long product lifetime ...
Qin Gong +3 more
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
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Estimation of Reliability in Multi-Component Stress-Strength Model Following Exponentiated Pareto Distribution [PDF]
The Egyptian Statistical Journal, 2012 This article deals with the Bayesian and non-Bayesian estimation of reliability of an s-out-of-k system with identical component strengths which are subjected to a common stress. Assuming that both stress and strength are assumed to have an exponentiated
Heba M.Basheikh, Amal S.Hassan
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Bayesian Sequential Estimation
The Annals of Statistics, 1977 For fixed $\theta$, let $X_1, X_2, \cdots$ be a sequence of independent identically distributed random variables having density $f_\theta(x)$. Using a sequential Bayes decision theoretic approach we consider the problem of estimating any strictly monotone function $g(\theta)$ when the error incurred by a wrong estimate is measured by squared error loss
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Bayesian Integration in Force Estimation [PDF]
Journal of Neurophysiology, 2004 When we interact with objects in the world, the forces we exert are finely tuned to the dynamics of the situation. As our sensors do not provide perfect knowledge about the environment, a key problem is how to estimate the appropriate forces. Two sources of information can be used to generate such an estimate: sensory inputs about the object and ...
Kording, K., Ku, S., Wolpert, D.
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Bayesian Estimation of Graph Signals
IEEE Transactions on Signal Processing, 2022 We consider the problem of recovering random graph signals from nonlinear measurements. For this case, closed-form Bayesian estimators are usually intractable and even numerical evaluation of these estimators may be hard to compute for large networks. In this paper, we propose a graph signal processing (GSP) framework for random graph signal recovery ...
Ariel Kroizer +2 more
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
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Estimate the parameters of Exponential-Rayleigh distribution, by using Bayesian method
Ibn Al-Haitham Journal for Pure and Applied SciencesIn this paper, point estimation method for parameters α and λ of the parameters of the Exponential-Rayleigh distribution have been estimated by the use of a simulation technique by using two Bayesian estimation methods; the first Bayesian method of ...
Maral Mohammed, Iden Hassan
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