Results 21 to 30 of about 125,648 (258)
Bayesian Direction of Arrival Estimation with Prior Knowledge from Target Tracker
Remote Sensing, 2023 The performance of traditional direction of arrival (DOA) estimation methods always deteriorates at a low signal-to-noise ratio (SNR) or without sufficient observations.
Tianyi Jia +3 more
doaj +1 more source
Alexandria Engineering Journal, 2022 In this work, we develop a General Entropy loss function (GE) to estimate the reliability function of the Weibull distribution based on complete data. We do this by merging a weight into GE to produce a new loss function called weighted General Entropy ...
Fuad S. Al-Duais
doaj +1 more source
Bayesian inference for dynamical systems
Infectious Disease Modelling, 2020 Bayesian inference is a common method for conducting parameter estimation for dynamical systems. Despite the prevalent use of Bayesian inference for performing parameter estimation for dynamical systems, there is a need for a formalized and detailed ...
Weston C. Roda
doaj +1 more source
Russian Journal of Agricultural and Socio-Economic Sciences, 2021 This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
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A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
Barekeng, 2023 Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage.
Devi Azarina Manzilir Rohmah +2 more
doaj +1 more source
Estimation of Parameters for the Gumbel Type-I Distribution under Type-II Censoring Scheme
مجلة بغداد للعلوم, 2023 This paper aims to decide the best parameter estimation methods for the parameters of the Gumbel type-I distribution under the type-II censorship scheme. For this purpose, classical and Bayesian parameter estimation procedures are considered.
Asuman Yılmaz, Mahmut Kara
doaj +1 more source
Machine-Learning-Based Parameter Estimation of Gaussian Quantum States
IEEE Transactions on Quantum Engineering, 2022 In this article, we propose a machine-learning framework for parameter estimation of single-mode Gaussian quantum states. Under a Bayesian framework, our approach estimates parameters of suitable prior distributions from measured data.
Neel Kanth Kundu +2 more
doaj +1 more source
Frontiers in Human NeuroscienceSource localization from M/EEG data is a fundamental step in many analysis pipelines, including those aiming at clinical applications such as the pre-surgical evaluation in epilepsy.
Gianvittorio Luria +5 more
doaj +1 more source
Computational Journal of Mathematical and Statistical Sciences, 2022 The ”Akshaya distribution” is a model one-parameter continuous distribution that has been proposed by [15] for modelling lifetime data from biological research and engineering.
Ahlam. H. Tolba
doaj +1 more source
Bayesian autoregressive spectral estimation
2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2021 Autoregressive (AR) time series models are widely used in parametric spectral estimation (SE), where the power spectral density (PSD) of the time series is approximated by that of the \emph{best-fit} AR model, which is available in closed form. Since AR parameters are usually found via maximum-likelihood, least squares or the method of moments, AR ...
Alejandro Cuevas +3 more
openaire +2 more sources