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Bayesian analysis of the linear regression constraints by Gibbs sampler
Artículo
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Bayesian analysis of the linear regression constraints by Gibbs sampler
Younis Hazim Ismail · University of Mosul, College of Education for Pure Science · 2010 · ISSN 1812-125X
Abstract In this paper we consider parameter estimation in a linear regression setting with inequality linear constraints on the regression parameters. Most other research on this topic has typically been addressed from ...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Bayesian 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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Bayesian 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
Robson Marcelo Rossi et al · Sociedade Brasileira de Zootecnia · 2010 · ISSN 1516-3598
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 eng
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Review of bayesian analysis in additive hazards model
Artículo
Acceso abierto Artículo CONICET Digital
Review of bayesian analysis in additive hazards model
Alvarez, Enrique Ernesto et al · Asian Journal of Probability and Statistics · 2019 · ISSN 2582-0230
In Survival Analysis, the focus of interest is a time $T^*$ until the occurrence of some event. A set of explanatory variables (denoted by a vector $Z$) is considered to analyze if there is a relationship between any of ...
Idioma eng
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Bayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
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Bayesian Neural Network-Assisted Parameter Estimation of the Transmuted Teissier Distribution for Environmental Data Modeling
P. T. Amrutha et al · IEEE · 2026 · ISSN 2169-3536
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 eng
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A row-type specific hybrid framework for credit risk analysis: loan portfolio based feature selection and unsupervised Bayesian network dependency exploration
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A row-type specific hybrid framework for credit risk analysis: loan portfolio based feature selection and unsupervised Bayesian network dependency exploration
Minati Rath et al · SpringerOpen · 2026 · ISSN 2193-1127
Abstract Credit risk assessment is a critical function in financial analytics, requiring models that can adapt to diverse borrower profiles while providing clear and interpretable insights. Although a range of data drive...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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Use the Bayesian inference in the classification with the application of the discriminatory analysis method
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Use the Bayesian inference in the classification with the application of the discriminatory analysis method
Thanoon al-Shukriji · University of Mosul, College of Education for Pure Science · 2010 · ISSN 1812-125X
Summary Bayesian Inference depends in general on the use of prior information about the unknown parameters to be estimated as such parameter random variables rather than constant quantities and add that prior information...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
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Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
Mingyu Meng et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
BackgroundCatheter-related thrombosis (CRT) is a common complication following central venous catheter (CVC) placement in patients with cancer, increasing mortality and adverse outcomes. However, robust evidence on optim...
LCC LCC:Therapeutics. PharmacologyIdioma eng
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Efficacy and safety of Chinese botanical drug decoctions for migraine: a Bayesian network meta-analysis
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Efficacy and safety of Chinese botanical drug decoctions for migraine: a Bayesian network meta-analysis
Fan Zhang et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...
LCC LCC:Therapeutics. PharmacologyIdioma eng
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Factors associated with occupational calling among psychiatric nurses: a Bayesian network model analysis
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Factors associated with occupational calling among psychiatric nurses: a Bayesian network model analysis
Yu Ai et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract To investigate the current status of occupational calling among psychiatric nurses, identify its correlated factors, and explore the probabilistic dependencies and network structure using a Bayesian network mode...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
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Modality-specific effects of structured exercise on immunometabolic biomarkers in postmenopausal obesity: a Bayesian network meta-analysis
Gang Huang et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
ObjectiveThe present Bayesian network meta-analysis (NMA) aims to evaluate and compare the efficacy of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) ...
LCC LCC:Immunologic diseases. AllergyIdioma eng
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Correction: Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
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Correction: Efficacy and safety evaluation of thromboprophylaxis strategies for central venous catheter-related thrombosis in cancer patients: a bayesian network meta-analysis and bibliometric analysis
Mingyu Meng et al · Frontiers Media S.A · 2026 · ISSN 1663-9812
Materias / palabras clave: anticoagulation; bibliometrics; cancer; central venous catheter; meta-analysis
LCC LCC:Therapeutics. PharmacologyIdioma eng
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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations
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A bayesian network approach for systemic risk analysis in unmanned aerial vehicle (UAV) operations
Lu Wang et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Unmanned Aerial Vehicle (UAV) operations confront complex systemic risks that challenge traditional analytical methods. This paper develops a hierarchical Bayesian Network (BN) to quantitatively model these risk...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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An Analysis of Airline Quality Rating Components Using Bayesian Methods
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An Analysis of Airline Quality Rating Components Using Bayesian Methods
John H. Mott et al · Embry-Riddle Aeronautical University · 2015 · ISSN 2374-6793
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 eng
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Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose–response network meta-analysis of randomised controlled trials
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Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose–response network meta-analysis of randomised controlled trials
Qiuxia Zhang et al · BMJ Publishing Group · 2026 · ISSN 2044-6055
Introduction Overweight and obesity are major global public health challenges and increase the risk of type 2 diabetes, dyslipidaemia, hypertension and cardiovascular disease. Exercise is a safe and cost-effective non-ph...
LCC LCC:MedicineIdioma eng
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Probabilistic back analysis of slope failure considering spatial variability of soil properties
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Probabilistic back analysis of slope failure considering spatial variability of soil properties
JIANG Shui-hua , WEI Bo-wen , HUANG Jin-song · Editorial Office of Chinese Journal of Geotechnical Engineering · 2017 · ISSN 1000-4548
The statistics of uncertain rock and soil parameters can be updated with the information from different sources such as in-situ measurements and field observations via probabilistic back analysis, which can be further us...
LCC LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground constructionIdioma eng
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Risk analysis of water resources carrying capacity based on a novel early warning framework
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Risk analysis of water resources carrying capacity based on a novel early warning framework
Heyuan Zhou et al · Elsevier · 2026 · ISSN 2665-9727
Water Resources Carrying Capacity (WRCC) embodies the fundamental constraint relationship between water resource sustainability and regional economic growth as well as social development, serving as a key indicator for a...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma eng
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures
Sean McGrath et al · BMC · 2026 · ISSN 1471-2288
Abstract Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rathe...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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Centers performance for end-stage kidney replacement therapy: a Bayesian hierarchical logistic regression for a binary kidney transplant status
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Centers performance for end-stage kidney replacement therapy: a Bayesian hierarchical logistic regression for a binary kidney transplant status
Solomon Woldeyohannes et al · BMC · 2026 · ISSN 1471-2288
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...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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Comparative effects of different exercise modalities on executive function in children with attention-deficit/hyperactivity disorder: a systematic review and network meta-analysis
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Comparative effects of different exercise modalities on executive function in children with attention-deficit/hyperactivity disorder: a systematic review and network meta-analysis
Ling Ge et al · Frontiers Media S.A · 2026 · ISSN 1664-1078
BackgroundExercise interventions have been increasingly identified as potential non-pharmacological approaches to ameliorate cognitive and behavioural performance among children with Attention-Deficit/Hyperactivity Disor...
LCC TENDOlBzeWNob2xvZ3k~Idioma eng
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Comparative efficacy of pediatric atopic dermatitis treatments: a network meta-analysis highlighting dupilumab and pimecrolimus for SCORAD and EASI improvement
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Comparative efficacy of pediatric atopic dermatitis treatments: a network meta-analysis highlighting dupilumab and pimecrolimus for SCORAD and EASI improvement
Liu Yang et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
BackgroundAtopic Dermatitis (AD) in children is a common chronic skin condition characterized by dry, itchy and inflamed skin. Various treatments have been applied in the management of AD in children, but the differences...
LCC LCC:Immunologic diseases. AllergyIdioma eng
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Comprehensive safety analysis of the clinical spectrum of adverse events associated with immune checkpoint inhibitors based on FAERS
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Comprehensive safety analysis of the clinical spectrum of adverse events associated with immune checkpoint inhibitors based on FAERS
Caihong Qu et al · Frontiers Media S.A · 2026 · ISSN 1664-3224
BackgroundThe toxicities associated with immune checkpoint inhibitors (ICIs) can affect nearly all organ systems. Although previous studies have examined specific types of immune-related adverse events (irAEs) associated...
LCC LCC:Immunologic diseases. AllergyIdioma eng
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Exploring the physics of cesium lead halide perovskite quantum dots via Bayesian inference of the photoluminescence spectra in automated experiment
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Exploring the physics of cesium lead halide perovskite quantum dots via Bayesian inference of the photoluminescence spectra in automated experiment
Heimbrook Amanda et al · Wiley · 2021 · ISSN 2192-8614
The unique optoelectronic properties of metal halide perovskite quantum dots (QDs) make them promising candidates for applications in light-emitting diodes (LEDs), scintillators, and other photonic devices. The automated...
LCC TENDOlBoeXNpY3M~Idioma eng
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Machine learning examination based on Bayesian regularized algorithm for slip effects on solarized Boger nanofluid with activation energy
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Machine learning examination based on Bayesian regularized algorithm for slip effects on solarized Boger nanofluid with activation energy
Saba Liaqat et al · Springer · 2026 · ISSN 2731-9229
Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...
LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng
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Multi-Illumination Nail Analysis With Uncertainty-Aware Deep Learning: A Comprehensive Approach to Automated Fungal Detection
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Multi-Illumination Nail Analysis With Uncertainty-Aware Deep Learning: A Comprehensive Approach to Automated Fungal Detection
Zenab Bosheah et al · IEEE · 2026 · ISSN 2169-3536
This study presents a comprehensive approach to nail condition classification using multi-illumination imaging and uncertainty-aware deep learning. We developed a diagnostic system capturing nail images under ten lightin...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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