Results 11 to 20 of about 2,810,332 (372)

Channel estimation using variational Bayesian learning for multi‐user mmWave MIMO systems

open access: yesIET 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
doaj   +1 more source

Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information

open access: yesItalian National Conference on Sensors, 2021
This paper proposes a 3D object recognition method for non-coloured point clouds using point features. The method is intended for application scenarios such as Inspection, Maintenance and Repair (IMR) of industrial sub-sea structures composed of pipes ...
K. Himri, P. Ridao, N. Gracias
semanticscholar   +1 more source

A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches [PDF]

open access: yesStatistics in Medicine, 2020
Substantial advances in Bayesian methods for causal inference have been made in recent years. We provide an introduction to Bayesian inference for causal effects for practicing statisticians who have some familiarity with Bayesian models and would like ...
Arman Oganisian, Jason A. Roy
semanticscholar   +1 more source

E-Bayesian estimation of Burr Type XII model based on adaptive Type-Ⅱ progressive hybrid censored data

open access: yesAIMS Mathematics, 2021
In this paper, we obtain the E-Bayesian estimation of the parameter and the reliability function of the Burr type-XII distribution under adaptive progressive Type-Ⅱ censoring scheme.
Hassan Okasha   +2 more
doaj   +1 more source

Bayesian Estimation for Two Parameters of Exponential Distribution under Different Loss Functions

open access: yesIbn 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
doaj   +1 more source

Bayesian and Non-Bayesian Inference for The Generalized Power Akshaya Distribution with Application in Medical

open access: yesComputational 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
doaj   +1 more source

Applying Monte Carlo Simulations to a Small Data Analysis of a Case of Economic Growth in COVID-19 Times

open access: yesSAGE Open, 2023
Studies on the going-on COVID-19 pandemic face small sample issues. In this context, Bayesian estimation is considered a viable alternative to frequentist estimation.
Nguyen Ngoc Thach
doaj   +1 more source

Estimation for inverse Weibull distribution under progressive type-Ⅱ censoring scheme

open access: yesAIMS Mathematics, 2023
This paper considers the statistical inferences of inverse Weibull distribution under progressive type-Ⅱ censored sample, which is a common distribution in reliability analysis.
Haiping Ren , Xue Hu
doaj   +1 more source

Accelerated Life Test Method for the Doubly Truncated Burr Type XII Distribution

open access: yesMathematics, 2020
The Burr type XII (BurrXII) distribution is very flexible for modeling and has earned much attention in the past few decades. In this study, the maximum likelihood estimation method and two Bayesian estimation procedures are investigated based on ...
Hua Xin   +3 more
doaj   +1 more source

Bayesian method application: Integrating mathematical modeling into clinical pharmacy through vancomycin therapeutic monitoring

open access: yesPharmacology Research & Perspectives, 2022
The most recent consensus guidelines for dosing and monitoring vancomycin recommended the use of area‐under‐the‐curve with Bayesian estimation for therapeutic monitoring.
Ashley Chen   +3 more
doaj   +1 more source

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