Results 31 to 40 of about 2,103,105 (303)
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
Bayesian curve estimation by model averaging [PDF]
, 2003 A bayesian approach is used to estimate a nonparametric regression model. The main features of the procedure are, first, the functional form of the curve is approximated by a mixture of local polynomials by Bayesian Model Averaging (BMA); second, the ...
Peña, Daniel, Redondas, María Dolores
core +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
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 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 +2 more
openaire +2 more sources
Default priors for density estimation with mixture models [PDF]
, 2010 The infinite mixture of normals model has become a popular method for density estimation problems. This paper proposes an alternative hierarchical model that leads to hyperparameters that can be interpreted as the location, scale and smoothness of the ...
Griffin, Jim E.
core +1 more source
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
doaj +1 more source
On the Bayesian analysis of species sampling mixture models for density estimation [PDF]
, 2006 The mixture of normals model has been extensively applied to density estimation problems. This paper proposes an alternative parameterisation that naturally leads to new forms of prior distribution.
Griffin, Jim E.
core
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 +9 more
core +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source