Results 31 to 40 of about 2,020,572 (302)

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

Bayesian Spectral Estimation Applied to Echo Signals from Nonlinear Ultrasound Scatterers [PDF]

, 2010
The understanding and exploitation of acoustic echo signals from nonlinear ultrasound scatterers is an active research area that aims to improve the sensitivity and specificity of diagnostic imaging.
James R. Hopgood, Sboros, Vassilis, Yan Yan, Vassilis Sboros, Hopgood, James R., James R. Hopgood (EURASIP Member), Sboros, Vassilis; id_orcid, Yan, Yan, James R Hopgood, Hopgood, James; id_orcid   +9 more
core   +1 more source

The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG

Frontiers in Human Neuroscience
Source 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, Alessandro Viani, Annalisa Pascarella, Harald Bornfleth, Sara Sommariva, Alberto Sorrentino   +5 more
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, Matthew R. McKay, Ranjan K. Mallik   +2 more
doaj   +1 more source

Bayesian and Non-Bayesian Estimation Methods for Simulating the Parameter of the Akshaya Distribution

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

CS Decomposition Based Bayesian Subspace Estimation [PDF]

, 2012
In numerous applications, it is required to estimate the principal subspace of the data, possibly from a very limited number of samples. Additionally, it often occurs that some rough knowledge about this subspace is available and could be used to improve
Besson, Olivier, Dobigeon, Nicolas, Tourneret, Jean-Yves   +2 more
core   +1 more source

Bayesian Filtering for Homography Estimation

IEEE Robotics and Automation Letters, 2023
8 pages and 6 figures, to be published in IEEE Robotics and Automation ...
Arturo Del Castillo Bernal, Philippe Decoste, James Richard Forbes   +2 more
openaire   +2 more sources

Benchmarking Bayesian quantum estimation [PDF]

The quest for precision in parameter estimation is a fundamental task in different scientific areas. The relevance of this problem thus provided the motivation to develop methods for the application of quantum resources to estimation protocols.
Cimini, Valeria, Sciarrino, Fabio, Spagnolo, Nicolò, Polino, Emanuele, Valeri, Mauro   +4 more
core   +1 more source

Estimation of the Reliability Function of the Generalized Rayleigh Distribution under Progressive First-Failure Censoring Model

Axioms
This 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, Rui Chen, Haiping Ren, Fan Zhang   +3 more
doaj   +1 more source

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
doaj   +1 more source