Results 51 to 60 of about 236,809 (257)

Linear Bayesian Methods

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1969
Summary A method of linear prediction is proposed, which follows the Bayesian scheme in combining prior and present information, but which uses only the first two moments of the distribution of parameters and observations, rather than the complete probability model required of Bayesian techniques.
openaire   +2 more sources

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen   +6 more
wiley   +1 more source

An Inferential Naivety Model for Agents’ Learning in Social Networks

open access: yesInternational Journal of Information and Communication Technology Research, 2021
We proposed a model of learning and belief formation in which a group of agents tries to learn the true underlying state of the world and make the best possible decisions.
Zeinab Rezaei   +2 more
doaj  

On bayesian methods for seeking the extremum [PDF]

open access: yes, 1975
Many well known methods for seeking the extremum had been developed on the basis of quadratic approximation.
openaire   +1 more source

Comparative Analysis of Choroid Plexus Volume Between MOG Antibody Associated Disease and Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun   +4 more
wiley   +1 more source

An optimal scale for the comparison of air pollution in east and west Tehran [PDF]

open access: yesعلوم محیطی, 2018
Introduction: Air pollution in the metropolis of Tehran is a serious environmental issue. Assigning an optimal budget to deal with air pollution problems in the East (no.4) and West (no.22) regions of Tehran, determining the optimal proportion of green ...
Masoud Ganji, Akbar Abravesh
doaj  

E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2017
This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter.
Rashad Mohamed EL-Sagheer
doaj   +1 more source

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello   +5 more
wiley   +1 more source

The Effect of Tumor Markers ER, Her2, and Ki67 on Long-Term and Short-Term Survival of Women with Breast Cancer Using Bayesian Cure Model

open access: yesمجله دانشکده پزشکی اصفهان, 2019
Background: Breast cancer is the second leading cause of death from cancer among women, and many factors are involved in its creation. The purpose of this study was to evaluate the effect of tumor markers on the survival of women with this cancer using ...
Morteza Mohammadzadeh   +4 more
doaj   +1 more source

New Bayesian method for multiextremal optimization

open access: yesComputational Science and Techniques, 2020
This paper is focused on the Bayes approach to multiextremal optimization problems, based on modelling the objective function by Gaussian random field (GRF) and using the Euclidean distance matrices with fractional degrees for presenting GRF covariances.
Natalija Pozniak, Leonidas Sakalauskas
doaj   +1 more source

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