نتایج جستجو برای: bayesian methods

تعداد نتایج: 1936824  

Journal: :مهندسی برق و الکترونیک ایران 0
ali mohammad-djafari

in this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. then a common general forward modeling for them is given and the corresponding inversion problem is presented. then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a baye...

بانه, حسن, رحیمی میانجی, قدرت, نجاتی جوارمی, اردشیر, هنرور, محمود,

The current study was carried out to evaluate accuracy of some Bayesian methods for genomic breeding values prediction for threshold traits with different types of genetic architecture based on distribution of gene effect and QTL numbers. A genome consisted of 3 chromosomes of 100 CM with 2000 single nucleotide polymorphisms (SNP) was simulated. The QTL numbers were 0.01, 0.05 and 0.1 of total ...

Journal: :gastroenterology and hepatology from bed to bench 0
mohamad amin pourhoseingholi mohsen vahedi phd student of biostatistics ahmad reza baghestani alireza abadi

aim : the aim of this study is to estimate oral cavity cancer mortality for iranian population, using bayesian approach in order to revise this misclassification. background : mortality is a familiar projection to address the burden of cancers, but according to iranian death registry, about 20% death statistics were still recorded in misclassified categories. patients and methods : we analyzed ...

Journal: :iranian journal of cancer prevention 0
mohsen vahedi mohamad amin pourhoseingholi ahmadreze baghestani alireza abadi sara sobhi zeinab fazeli

abstract background: lung cancer is an important cause of cancer mortality. mortality is a familiar projection to address the burden of cancers. however, according to iranian death registry, about 20% of death statistics were still recorded in misclassified categories. the aim of this study was to estimate lung cancer mortality in iranian population, using bayesian approach to revise this miscl...

Journal: :Statistics, Optimization and Information Computing 2022

The extropy is considered to be a complementary dual of the well-known Shannon’s entropy and has wide applications in many fields. This article discusses estimating cumulative residual Pareto distribution using maximum likelihood Bayesian methods. We obtain extropies measures presence outliers. These estimators are specialized homogenous case. both derived based on symmetric asymmetric loss fun...

جعفری, فرهاد, رمضانعلی, فریبا, شمسی پور, منصور, نوروزی, مهدی, چهرازی, محمد,

Background & Objectives: One of the problems of diagnostic accuracy studies is verification bias. It occurs when standard test performed only for non-representative subsample of study subjects that diagnostic test done for them. In this study we extend a Bayesian method to correct this bias. Methods: Patients that have had at least twice repeated failures in cycles IVF ICSI were included i...

زایری, فرید, صالحی, مسعود, وهابی, نسیم, یاسری, مهدی,

Background: Diabetes is one of the most common chronic diseases of this century. Retinopathy and makulopati are two most important implications of diabetes. In this study, Bayesian logistic regression is used to assess the factors affected on diabetic- retinopathy. Methods: Study population of this cross-sectional study contains all diabetic patients in Tehran of which 623 of them were selec...

Medical ultrasound imaging due to close behavior of cancer tumors to body tissues has a low contrast. This problem with synthetic aperture imaging method has been addressed. Although the synthetic aperture imaging technique solved the low-contrast problem of ultrasound images, to an acceptable limit, but the performance of these methods is not even acceptable when the signal to noise ratio (SNR...

ابدی, علیرضا, حسینی, سید مصطفی, نوری جلیانی, کرامت, پهلوان‌زاده, باقر,

Background & Objective: Inability to measure exact exposure in epidemiological studies is a common problem in many studies, especially cross-sectional studies. Depending on the extent of misclassification, results may be affected. Existing methods for solving this problem require a lot of time and money and it is not practical for some of the exposures. Recently, new methods have been proposed ...

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