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Bayesian Estimation of Multicomponent Stress–Strength Model Using Progressively Censored Data from the Inverse Rayleigh Distribution [PDF]
EntropyThis paper presents a comprehensive study on the estimation of multicomponent stress–strength reliability under progressively censored data, assuming the inverse Rayleigh distribution.
Asuman Yılmaz
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Bayesian estimation of orientation and direction tuning captures parameter uncertainty [PDF]
Frontiers in Neural CircuitsThis study explores the efficacy of Bayesian estimation in modeling the orientation and direction selectivity of neurons in the primary visual cortex (V1).
Zongting Wu, Stephen D. Van Hooser
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Linear Bayesian Estimation of Misrecorded Poisson Distribution [PDF]
EntropyParameter estimation is an important component of statistical inference, and how to improve the accuracy of parameter estimation is a key issue in research.
Huiqing Gao, Zhanshou Chen, Fuxiao Li
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On Bayesian estimation of a latent trait model defined by a rank-based likelihood [PDF]
Scientific ReportsMaximum likelihood estimation (frequentist) and Bayesian estimation are two common parameter estimation methods. However, maximum likelihood estimation faces limitations, including the effect of outliers, computational complexity, and issues with ordinal
Daniel Biftu Bekalo +2 more
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Bayesian estimation in NONMEM [PDF]
CPT: Pharmacometrics & Systems PharmacologyBayesian estimation is a powerful but underutilized tool for answering drug development questions. In this tutorial, the principles of Bayesian model development, assessment, and prior selection will be outlined.
Curtis K. Johnston +5 more
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Axioms, 2023 This paper investigates the problem of entropy estimation for the generalized Rayleigh distribution under progressively type-II censored samples. Based on progressively type-II censored samples, we first discuss the maximum likelihood estimation and ...
Haiping Ren, Qin Gong, Xue Hu
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Bayesian Estimations of Shannon Entropy and Rényi Entropy of Inverse Weibull Distribution
Mathematics, 2023 In this paper, under the symmetric entropy and the scale squared error loss functions, we consider the maximum likelihood (ML) estimation and Bayesian estimation of the Shannon entropy and Rényi entropy of the two-parameter inverse Weibull distribution ...
Haiping Ren, Xue Hu
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Channel estimation using variational Bayesian learning for multi‐user mmWave MIMO systems
IET Communications, 2021 This paper presents a novel variational Bayesian learning‐based channel estimation scheme for hybrid pre‐coding‐employed wideband multiuser millimetre wave multiple‐input multiple‐output communication systems.
Bo Xiao +4 more
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Bayesian Estimation for Two Parameters of Exponential Distribution under Different Loss Functions
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 In this paper, two parameters for the Exponential distribution were estimated using the Bayesian estimation method under three different loss functions: the Squared error loss function, the Precautionary loss function, and the Entropy loss function. The
Huda Abdullah Rasheed, Maryam N. Abd
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Computational Journal of Mathematical and Statistical Sciences, 2023 Generalized power Akshaya distribution is a brand-new two-parameter distribution that builds on the Akshaya distribution first introduced by \cite{Ramadan}. The lifetime data is intended to be modelled by this distribution.
Ahlam Hamdy, Ehab M. Almetwally
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