Showing 161 - 180 results of 1,292 for search '"Bayesian"', query time: 0.07s Refine Results
  1. 161

    Bayesian Estimation of the Stress-Strength Reliability Based on Generalized Order Statistics for Pareto Distribution by Zahra Karimi Ezmareh, Gholamhossein Yari

    Published 2023-01-01
    “…The aim of this paper is to obtain a Bayesian estimator of stress-strength reliability based on generalized order statistics for Pareto distribution. …”
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    Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values by Fuad S. Al-Duais

    Published 2021-01-01
    “…Next, we compared the performance of the proposed method (WLINEX) in this work with Bayesian estimation using the LINEX loss function, Bayesian estimation using the squared-error (SEL) loss function, and maximum likelihood estimation (MLE). …”
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    Relaxing the confirmatory factor model in the Big Five: Exploratory, Bayesian, and machine learning approaches by Jacob S. Gray

    Published 2025-01-01
    “…Three methods have been devised to relax this assumption: Exploratory Structural Equation Model (SEM), Bayesian SEM, and Regularized SEM. Each of these allow for the existence of cross-loadings, but a direct comparison of these methods is missing from the literature. …”
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  9. 169

    Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme by Sanjay Kumar Singh, Umesh Singh, Vikas Kumar Sharma

    Published 2013-01-01
    “…We have developed the Bayesian estimation procedure for flexible Weibull distribution under Type-II censoring scheme assuming Jeffrey's scale invariant (noninformative) and Gamma (informative) priors for the model parameters. …”
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  10. 170

    Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior by Qilei Zhang, Lei Yu, Feng He, Yifei Ji

    Published 2022-07-01
    “…Abstract Bayesian compressive sensing (BCS) is an important sub‐class of sparse signal reconstruction algorithms. …”
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  11. 171

    Estimation of Urban Link Travel Time Distribution Using Markov Chains and Bayesian Approaches by Wenwen Qin, Meiping Yun

    Published 2018-01-01
    “…In this case, the study develops a Bayesian approach based on particle filter framework for link TTD estimation using real-time and historical travel time observations from FCD. …”
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  12. 172

    Within-host bayesian joint modeling of longitudinal and time-to-event data of Leishmania infection. by Felix M Pabon-Rodriguez, Grant D Brown, Breanna M Scorza, Christine A Petersen

    Published 2024-01-01
    “…In this work, we present a Bayesian joint model of longitudinal and time-to-event data of Leishmania infection that considers the interplay between key drivers of the disease process: pathogen load, antibody level, and disease. …”
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  13. 173

    A multidimensional Bayesian IRT method for discovering misconceptions from concept test data by Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard

    Published 2025-01-01
    “…We explore the performance of the Bayesian MNCM on synthetic data and find that it is able to recover multidimensional item parameters consistently at achievable sample sizes. …”
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  14. 174

    Use of Bayesian Inference to Correlate In Vitro Embryo Production and In Vivo Fertility in Zebu Bulls by Mateus José Sudano, André Maciel Crespilho, Claudia Barbosa Fernandes, Alicio Martins Junior, Frederico Ozanam Papa, Josemar Rodrigues, Rui Machado, Fernanda Da Cruz Landim-Alvarenga

    Published 2011-01-01
    “…The objective of this experiment was to test in vitro embryo production (IVP) as a tool to estimate fertility performance in zebu bulls using Bayesian inference statistics. Oocytes were matured and fertilized in vitro using sperm cells from three different Zebu bulls (V, T, and G). …”
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    Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

    Published 2024-11-01
    “…We showcase the utility of this method for sequential decision-making by examining the problem of composite Bayesian Optimization (BO), where we aim to optimize a function $$f=g\circ h$$ f = g ∘ h , where $$h:X\rightarrow C(\mathscr {Y},{\mathbb {R}}^{d_s})$$ h : X → C ( Y , R d s ) is an unknown map which outputs elements of a function space, and $$g: C(\mathscr {Y},{\mathbb {R}}^{d_s})\rightarrow {\mathbb {R}}$$ g : C ( Y , R d s ) → R is a known and cheap-to-compute functional. …”
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    Project Portfolio Resource Risk Assessment considering Project Interdependency by the Fuzzy Bayesian Network by Libiao Bai, Kaimin Zhang, Huijing Shi, Min An, Xiao Han

    Published 2020-01-01
    “…This paper presents a methodology by using a fuzzy Bayesian network to assess the project portfolio resource risk, determine critical resource risk factors, and propose risk-reduction strategies. …”
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