Bayesian Methods for Statistical Analysis
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Bayesian Methods in the Search for MH370
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Material complementarioPrediction and monitoring of accrual and rate of underrepresented biomedical research group using bayesian methods
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Article
Abstract Background There has been a recent push for biomedical research to incorporate more demographically, ethnically, and medically diverse cohorts – individuals whom the NIH designates as “underrepresented in bi...
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Material complementarioAn Analysis of Airline Quality Rating Components Using Bayesian Methods
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Article
The Airline Quality Rating, a unique metric that is of interval scale and is comparable across carriers and time periods, is a quantitative evaluation of the quality of U.S. domestic air carriers based on data that is co...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma English
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Open AccessEfeitos do número de animais na matriz de parentesco sobre as estimativas de componentes de variância para produção de leite usando os métodos de Máxima Verossimilhança Restrita e Bayesiano Effects of the number of animals in the numerator relationship matrix on variance components for milk yield using Restricted Maximum Likelihood and Bayesian methods
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Article
Foram estimados os componentes de variância para produção de leite e avaliado o impacto do aumento do número de animais na matriz de parentesco sobre os componentes de variância usando os métodos de Máxima Verossi...
LCC LCC:Animal cultureIdioma English
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Open AccessIntroduction to the Restoration of Astrophysical Images by Multiscale Transforms and Bayesian Methods
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Open AccessBayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods & Applications
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Material complementarioMaxEnt 2019—Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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Material complementarioThe 40th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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Book
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Material complementarioEstimação de parâmetros genéticos em caprinos leiteiros por meio de análise de regressão aleatória utilizando-se a Amostragem de Gibbs Estimation of genetic parameters for milk yield of dairy goats by random regression analysis using Gibbs Sampling
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Article
Modelos de regressão aleatória foram utilizados neste estudo para estimar parâmetros genéticos da produção de leite no dia do controle (PLDC) em caprinos leiteiros da raça Alpina, por meio da metodologia Bayesiana...
LCC LCC:Animal cultureIdioma English
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Open AccessHow can innovative trials in juvenile idiopathic arthritis serve the unmet needs of patients?
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Article
Abstract Juvenile idiopathic arthritis (JIA) comprises a heterogeneous group of childhood-onset inflammatory arthritides that remain challenging to treat. An expanding range of biologic and targeted synthetic disease-mod...
LCC LCC:Diseases of the musculoskeletal systemIdioma English
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Open AccessJoint modelling accelerated life tests and field data for reliability prediction
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Article
Products often operate in dynamic environments, and field failure data is frequently heavily censored, posing significant challenges in the assessment of product reliability. To enhance the accuracy of field reliability ...
LCC LCC:Probabilities. Mathematical statisticsIdioma English
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Open AccessRegression Analysis of Count Data
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Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, pro...
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Material complementarioBayesian Approach for Analyzing Computer Models using Gaussian Process Models.
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Article
Mathematical models, usually implemented in computer programs known as computer models, are widely used in all areas of science and technology to represent complex systems in the real world. However, computer models are ...
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Open AccessBayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
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Article
Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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Material complementarioBayesian analysis for comparison of nonlinear regression model parameters: an application to ruminal degradability data Metodologia Bayesiana para comparação de parâmetros de modelos de regressão não-linear: uma aplicação a dados de degradabilidade ruminal
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Article
This paper shows the Bayesian approach as an alternative to the classical analysis of nonlinear models for ruminal degradation data. The data set was obtained from a Latin square experimental design, established for test...
LCC LCC:Animal cultureIdioma English
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Open AccessBayesian evaluation of sensitivity and specificity of blood culture media and hypoglycemia in sepsis‐suspected calves
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Article
Abstract Background Sepsis is a life‐threatening condition for which critically important antimicrobials are often indicated. The value of blood culture for sepsis is indisputable, but appropriate guidelines on samplin...
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Material complementarioBayesian evaluation of the accuracy of a thoracic auscultation scoring system in dairy calves with bronchopneumonia using a standard lung sound nomenclature
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Article
Abstract Background Although thoracic auscultation (AUSC) in calves is quick and easy to perform, the definition of lung sounds is highly variable and leads to poor to moderate accuracy in diagnosing bronchopneumonia (BP...
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Material complementarioMethods for specifying the target difference in a randomised controlled trial: the Difference ELicitation in TriAls (DELTA) systematic review.
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Article
BackgroundRandomised controlled trials (RCTs) are widely accepted as the preferred study design for evaluating healthcare interventions. When the sample size is determined, a (target) difference is typically specified th...
LCC LCC:MedicineIdioma English
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Open AccessCenters performance for end-stage kidney replacement therapy: a Bayesian hierarchical logistic regression for a binary kidney transplant status
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Article
Abstract Purpose The past two decades witnessed increased use of risk-adjusted standardized measures such as standardized mortality ratios (SMRs) and standardized incidence ratios (SIRs) in institutional comparisons betw...
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Material complementarioComparative evaluation of Bayesian external information borrowing and frequentist approaches in underpowered confirmatory trials
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Article
Abstract The application of Bayesian statistics in pivotal clinical trials has gained increasing attention, particularly for underpowered confirmatory trials such as those in pediatric and rare disease populations. Bayes...
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Material complementarioHierarchical Bayesian threshold excess model for real-time vehicle-based conflict prediction in dynamic traffic environments
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Article
Vehicle-based collision risk assessment methods often exhibit a tradeoff between simplifying assumptions in physics-based models and the interpretability challenges of learning algorithms. To tackle this, methods based o...
LCC LCC:Transportation engineeringIdioma English
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Open AccessModelling the Duration of the First Job Using Bayesian Accelerated Failure Time Models
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Article
In this paper, the duration of the first job of young people aged 18–30 has been analyzed. The aim of the work is to find the distribution which best describes the investigated phenomenon. Bayesian accelerated failure ...
LCC LCC:Marketing. Distribution of products; TENDOkZpbmFuY2U~Idioma English
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Open AccessModelo hierárquico bayesiano aplicado na avaliação genética de curvas de crescimento de bovinos de corte Bayesian hierarchical model appllied to genetic evaluation of of beef cattle growth curves
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Article
A estimação dos componentes de (co)variância dos parâmetros de modelos de crescimento pode ser feita por vários métodos. A metodologia bayesiana se apresenta como uma forma alternativa de estimação. Foi realizado...
LCC LCC:Animal cultureIdioma English
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Open Access