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BAYESIAN: 作品数：864被引量：1973H指数：16; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：陈阳周源泉方苇谢力陈梦成更多>>; 相关机构：东南大学吉林大学西安交通大学华中科技大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中央高校基本科研业务费专项资金更多>>

Frequentist and Bayesian Sample Size Determination for Single-Arm Clinical Trials Based on a Binary Response Variable: A Shiny App to Implement Exact Methods: 《Open Journal of Statistics》2024年第1期90-105,共16页Susanna Gentile Valeria Sambucini; Sample size determination typically relies on a power analysis based on a frequentist conditional approach. This latter can be seen as a particular case of the two-priors approach, which allows to build four distinct ...; 关键词：Binomial Proportion Frequentist and Bayesian Power Functions Exact Sample Size Determination Shiny App Two-Priors Approach

Performance of Bayesian Propensity Score Adjustment for Estimating Causal Effects in Small Clinical Trials: 《Open Journal of Statistics》2023年第1期1-15,共15页Airi Takagi Takuhiro Yamaguchi; Propensity score (PS) adjustment can control confounding effects and reduce bias when estimating treatment effects in non-randomized trials or observational studies. PS methods are becoming increasingly used to estima...; 关键词：Bayesian Estimation Causal Inference Propensity Score Quasi-Complete Separation Prior Distribution

Bayesian Set Estimation with Alternative Loss Functions: Optimality and Regret Analysis: 《Open Journal of Statistics》2023年第2期195-211,共17页Fulvio De Santis Stefania Gubbiotti; Decision-theoretic interval estimation requires the use of loss functions that, typically, take into account the size and the coverage of the sets. We here consider the class of monotone loss functions that, under qui...; 关键词：Bayesian Inference Decision-Theoretic Approach Highest Posterior Density Sets Interval Estimation REGRET

A Flexible Joint Longitudinal-Survival Model for Analyzing Longitudinally Sampled Biomarkers: 《Open Journal of Statistics》2021年第5期778-805,共28页Sepehr Akhavan Masouleh Tracy Holsclaw Babak Shahbaba Daniel L. Gillen; We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically, we use our method for analyzing the s...; 关键词：Joint Longitudinal-Survival Bayesian Nonparameterics Gaussian Processes

Extraction of Information from Crowdsourcing: Experimental Test Employing Bayesian, Maximum Likelihood, and Maximum Entropy Methods被引量：2: 《Open Journal of Statistics》2019年第5期571-600,共30页M. P. Silverman; A crowdsourcing experiment in which viewers (the “crowd”) of a British Broadcasting Corporation (BBC) television show submitted estimates of the number of coins in a tumbler was shown in an antecedent paper (Part 1)...; 关键词：Crowdsourcing BAYESIAN PRIORS MAXIMUM LIKELIHOOD PRINCIPLE of MAXIMUM ENTROPY Parameter Estimation Log-Normal Distribution

Bayesian Approach to Ranking and Selection for a Binary Measurement System: 《Open Journal of Statistics》2019年第4期436-444,共9页Mark Eschmann James D. Stamey Phil D. Young Dean M. Young; Binary measurement systems that classify parts as either pass or fail are widely used. Inspectors or inspection systems are often subject to error. The error rates are unlikely to be identical across inspectors. We pr...; 关键词：BAYESIAN STATISTICS QUALITY Control BINARY MEASUREMENT Systems MISCLASSIFICATION

On Analysis of the Behrens-Fisher Problem Based on Bayesian Evidence: 《Open Journal of Statistics》2019年第1期1-14,共14页Nengak Emmanuel Goltong Sani Ibrahim Doguwa; In this paper we have demonstrated the ability of the new Bayesian measure of evidence of Yin (2012, Computational Statistics, 27: 237-249) to solve both the Behrens-Fisher problem and Lindley's paradox. We have provi...; 关键词：Behrens-Fisher PROBLEM Lindley's PARADOX METROPOLIS-HASTINGS Algorithm PARETO Prior t Distribution

Local Kernel Dimension Reduction in Approximate Bayesian Computation: 《Open Journal of Statistics》2018年第3期479-496,共18页Jin Zhou Kenji Fukumizu; Approximate Bayesian Computation (ABC) is a popular sampling method in applications involving intractable likelihood functions. Instead of evaluating the likelihood function, ABC approximates the posterior distributio...; 关键词：APPROXIMATE BAYESIAN COMPUTATION KERNEL DIMENSIONAL REDUCTION

A New Weighted Rayleigh Distribution: Properties and Applications on Lifetime Time Data: 《Open Journal of Statistics》2018年第3期640-650,共11页Shakila Bashir Mujahid Rasul; Rayleigh distribution (RD) has wide applications in many real life situations especially life testing, reliability analysis, medicines etc. In this paper a new weighted Rayleigh distribution named area-biased Rayleigh...; 关键词：RD ARD MOM ML BAYESIAN

A Comparison of Hierarchical Bayesian Models for Small Area Estimation of Counts: 《Open Journal of Statistics》2017年第3期521-550,共30页Matilde Trevisani Nicola Torelli; Small area estimation (SAE) tackles the problem of providing reliable estimates for small areas, i.e., subsets of the population for which sample information is not sufficient to warrant the use of a direct estimator....; 关键词：Small Area Estimation HIERARCHICAL BAYESIAN MODELS Non-Normal Sampling STAGE Unmatched MODELS

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