Results 31 to 40 of about 547,274 (236)

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]

, 2009
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero, Jean-yves Tourneret, Martial Coulon, Nicolas Dobigeon, Saïd Moussaoui, Senior Member   +5 more
core   +9 more sources

Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM [PDF]

, 2013
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known.
Almeida, Babacan, Besag, Bishop, Chao, Chenegros, Daubechies, Degen, Dobigeon, Figueiredo, Forbes, Forbes, Ge, Gilks, Kundur, Landweber, Makni, Makni, Mittelman, Nasios, Orieux, Park, Pillonetto, Robert, Rugar, Shan, Sidles, Sidles, Sidles, Themelis, Ting, Tzikas, Vincent, Walker, Wang, Ward, Winn, Züger, Züger, Züger   +39 more
core   +5 more sources

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

Distance Estimation in Cosmology

, 1995
In this paper we outline the framework of mathematical statistics with which one may study the properties of galaxy distance estimators. We describe, within this framework, how one may formulate the problem of distance estimation as a Bayesian inference ...
Bertschinger, Chamcham, Dekel, Dekel, Dekel, Dressler, Dressler, Eastman, Eddington, Faber, Feast, Federspiel, Fiegelson, Fisher, Freedman, Freudling, Giraud, Gould, Hamuy, Heavens, Hendry, Hendry, Hendry, Hendry, Hendry, Hoel, Hogg, Hudson, Hudson, J.F.L. Simmons, Jacoby, Kanbur, Kendall, Kirschner, Lahav, Landy, Lauer, Lynden-Bell, M.A. Hendry, Malmquist, Malmquist, Mathewson, Mood, Mould, Newsam, Newsam, Nusser, Pierce, Pierce, Rauzy, Riess, Riess, Rubin, Saha, Saha, Salucci, Sandage, Sandage, Sandage, Sandage, Schechter, Schmidt, Schmidt, Shaya, Shaya, Simmons, Sodré, Teerikorpi, Tonry, Triay, Tully, van den Bergh, Vaughan, Visvanathan, von Mises, Willick, Zaccheo   +76 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

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

A Bayesian method for identification of stock mixtures from molecular marker data [PDF]

, 2006
Molecular markers have been demonstrated to be useful for the estimation of stock mixture proportions where the origin of individuals is determined from baseline samples.
Corrander, Jukka, Marttinen, Pekka, Mäntyniemi, Samu   +2 more
core  

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings [PDF]

, 2011
Recently, evidence has emerged that humans approach learning using Bayesian updating rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem. Here, we investigate what this implies for human appreciation of uncertainty.
A Quinn, A Wagner, AC Courville, AJ Yu, AN Hampton, BA Strange, CD Fiorillo, D Draper, D Ellsberg, E Payzan-LeNestour, Elise Payzan-LeNestour, FH Knight, G Aston-Jones, G Vanni-Mercier, GI Christopoulos, J Dow, JD Cohen, JM Keynes, JM Pearce, JO Berger, K Craik, K Doya, K Preuschoff, K Preuschoff, K Sangjoon, LP Hansen, M Allais, M Basili, M d'Acremont, M Hsu, MFS Rushworth, MP Paulus, ND Daw, ND Daw, P Bossaerts, P Dayan, P Diaconis, Peter Bossaerts, PN Tobler, RE Kass, RH Thaler, S Huettel, S Ishii, S Kakade, SA Huettel, TEJ Behrens, Tim Behrens, U Rutishauser, W Epstein, W Yoshida   +49 more
core   +5 more sources

Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas, Connor A. Law, Joan A. Casey, Thomas Mosley, Rebecca F. Gottesman, Ramon Diaz‐Arrastia, Holly Elser, Andrea L. C. Schneider   +7 more
wiley   +1 more source

Estimate the parameters of Exponential-Rayleigh distribution, by using Bayesian method

Ibn Al-Haitham Journal for Pure and Applied Sciences
In this paper, point estimation method for parameters α and λ of the parameters of the Exponential-Rayleigh distribution have been estimated by the use of a simulation technique by using two Bayesian estimation methods; the first Bayesian method of ...
Maral Mohammed, Iden Hassan
doaj   +1 more source